{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import os\n",
    "\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ediri = r'C:\\Users\\apbarret\\Documents\\data\\Arctic_precip'\n",
    "efile = r'NPP-yang_copy_apb.xls'\n",
    "df = pd.read_excel(os.path.join(ediri, efile), sheet_name='monthly-all', header=0, skiprows=[1,2,3], \n",
    "                   na_values='-', usecols=14)\n",
    "df = df.dropna(how='all')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NP</th>\n",
       "      <th>YY</th>\n",
       "      <th>MM</th>\n",
       "      <th>ND</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Tmn</th>\n",
       "      <th>Ug</th>\n",
       "      <th>DP</th>\n",
       "      <th>Dtc</th>\n",
       "      <th>snow%</th>\n",
       "      <th>Pg</th>\n",
       "      <th>windC</th>\n",
       "      <th>traceC</th>\n",
       "      <th>Pc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>74.51</td>\n",
       "      <td>-150.67</td>\n",
       "      <td>-31.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>74.70</td>\n",
       "      <td>-147.57</td>\n",
       "      <td>-20.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>19.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>20.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>42.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>75.30</td>\n",
       "      <td>-146.08</td>\n",
       "      <td>-28.8</td>\n",
       "      <td>3.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2.4</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>75.48</td>\n",
       "      <td>-146.26</td>\n",
       "      <td>-22.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>75.46</td>\n",
       "      <td>-146.25</td>\n",
       "      <td>-11.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     NP    YY   MM    ND    Lat     Lon   Tmn   Ug    DP   Dtc  snow%    Pg  \\\n",
       "0  31.0  89.0  1.0  31.0  74.51 -150.67 -31.2  4.7   5.0  25.0  100.0   2.0   \n",
       "1  31.0  89.0  2.0  28.0  74.70 -147.57 -20.3  4.7  19.0   8.0  100.0  21.3   \n",
       "2  31.0  89.0  3.0  31.0  75.30 -146.08 -28.8  3.9   6.0  24.0  100.0   4.3   \n",
       "3  31.0  89.0  4.0  30.0  75.48 -146.26 -22.2  3.6   9.0  20.0  100.0   5.1   \n",
       "4  31.0  89.0  5.0  31.0  75.46 -146.25 -11.2  3.2  18.0  12.0  100.0   7.4   \n",
       "\n",
       "   windC  traceC    Pc  \n",
       "0    1.5     2.5   6.0  \n",
       "1   20.3     0.8  42.4  \n",
       "2    4.3     2.4  11.0  \n",
       "3    2.6     2.0   9.7  \n",
       "4    2.9     1.2  11.5  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make 1979 to 1991 mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pc</th>\n",
       "      <th>DP</th>\n",
       "      <th>Dtc</th>\n",
       "      <th>snow%</th>\n",
       "      <th>Psn</th>\n",
       "      <th>DPtot</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MM</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>19.138095</td>\n",
       "      <td>11.523810</td>\n",
       "      <td>18.476190</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>19.138095</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>17.671429</td>\n",
       "      <td>11.095238</td>\n",
       "      <td>16.190476</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>17.671429</td>\n",
       "      <td>27.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>20.250000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>99.925000</td>\n",
       "      <td>20.250000</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>11.423529</td>\n",
       "      <td>7.529412</td>\n",
       "      <td>21.470588</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.423529</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>14.843750</td>\n",
       "      <td>12.250000</td>\n",
       "      <td>17.750000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>14.843750</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>14.938889</td>\n",
       "      <td>13.444444</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>87.066667</td>\n",
       "      <td>9.052967</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>29.920000</td>\n",
       "      <td>15.400000</td>\n",
       "      <td>14.600000</td>\n",
       "      <td>65.165000</td>\n",
       "      <td>6.193440</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>29.830000</td>\n",
       "      <td>17.150000</td>\n",
       "      <td>12.850000</td>\n",
       "      <td>72.425000</td>\n",
       "      <td>18.584090</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>34.425000</td>\n",
       "      <td>19.750000</td>\n",
       "      <td>9.250000</td>\n",
       "      <td>93.845000</td>\n",
       "      <td>34.425000</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>23.045000</td>\n",
       "      <td>18.750000</td>\n",
       "      <td>9.850000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>23.045000</td>\n",
       "      <td>28.600000</td>\n",
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       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>12.731579</td>\n",
       "      <td>11.210526</td>\n",
       "      <td>17.789474</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.731579</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>15.821053</td>\n",
       "      <td>10.684211</td>\n",
       "      <td>19.315789</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>15.821053</td>\n",
       "      <td>30.000000</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "             Pc         DP        Dtc       snow%        Psn      DPtot\n",
       "MM                                                                     \n",
       "1.0   19.138095  11.523810  18.476190  100.000000  19.138095  30.000000\n",
       "2.0   17.671429  11.095238  16.190476  100.000000  17.671429  27.285714\n",
       "3.0   20.250000  10.000000  20.000000   99.925000  20.250000  30.000000\n",
       "4.0   11.423529   7.529412  21.470588  100.000000  11.423529  29.000000\n",
       "5.0   14.843750  12.250000  17.750000  100.000000  14.843750  30.000000\n",
       "6.0   14.938889  13.444444  15.555556   87.066667   9.052967  29.000000\n",
       "7.0   29.920000  15.400000  14.600000   65.165000   6.193440  30.000000\n",
       "8.0   29.830000  17.150000  12.850000   72.425000  18.584090  30.000000\n",
       "9.0   34.425000  19.750000   9.250000   93.845000  34.425000  29.000000\n",
       "10.0  23.045000  18.750000   9.850000  100.000000  23.045000  28.600000\n",
       "11.0  12.731579  11.210526  17.789474  100.000000  12.731579  29.000000\n",
       "12.0  15.821053  10.684211  19.315789  100.000000  15.821053  30.000000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfAvg = df[df['YY'] >= 79].groupby('MM').mean()[['Pc','DP','Dtc','snow%']]\n",
    "dfAvg['Psn'] = dfAvg['Pc'] * df['snow%'] / 100.\n",
    "dfAvg['DPtot'] = dfAvg['DP'] + dfAvg['Dtc']\n",
    "dfAvg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x921ad30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(1,13)\n",
    "width = 0.5\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(10,7))\n",
    "\n",
    "ax1.bar(x, dfAvg['Pc'], width=width, color='k', edgecolor='none', align='center', label='Rain')\n",
    "ax1.bar(x, dfAvg['Psn'], width=width, color='0.7', edgecolor='none', align='center', label='Snow')\n",
    "ax1.set_ylabel('mm', fontsize=20)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(x, dfAvg['DP'], ls='-', lw=4, color='b', label='Precipitation Days')\n",
    "#ax2.plot(x, dfAvg['DPtot'], ls='--', lw=4, color='b', label='Precipitation days (incl. trace)')\n",
    "ax2.set_ylabel('Days', fontsize=20)\n",
    "\n",
    "ax1.set_xticks(x)\n",
    "ax1.set_xticklabels(['J','F','M','A','M','J','J','A','S','O','N','D'], fontsize=20)\n",
    "ax1.tick_params(labelsize=20)\n",
    "ax2.tick_params(labelsize=20)\n",
    "\n",
    "ax1.legend(fontsize=20, frameon=False, loc=(0.02,0.7))\n",
    "ax2.legend(fontsize=20, frameon=False)\n",
    "\n",
    "fig.savefig(os.path.join(r'C:\\Users\\apbarret\\Documents\\Papers\\Snow_on_seaice_precip','yang_npp_observed_precip_1979to1991.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df_satt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-04bc7cbaedb8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgridlines\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 11\u001b[1;33m \u001b[0mxy\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mccrs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mNorthPolarStereo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransform_points\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mccrs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdf_satt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Lon'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdf_satt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Lat'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     12\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     13\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'df_satt' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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JIfTs7FM7TguOE0GpbmvyLwDkcgXs7R1jYSHJrnieIKZp4uzMyokpleoIBFwIhXxwu5UrPDECPJ5RcNz375Nq9Rj1+jl4XoYouiGKLvB8f3r6vnbmzqOdouavv77gxx8n23a8p061qiKXy+P4uAhR5BEO+zA87GGzf54gpknx8eM+HA4JY2OhgZs15vdPg1J66z9lk6DpDbLZcxwenmN+PsEWgSfEVxFTQKlUhd/vRijkhcfjuHUhIISHx5P4TtQ0c1HaXY5tJ7Xa+SMb9l2GCZrOUanUkcsVcHJShCQJDc8NEzdPCUopPn06AMdxmJyMDJSoYYLmFvb3T3B6WsLcXAI8PzibEONqTJPi/NzyxBSLVQwNWZ4Yr/d2EfMtlqgZBccNfnhSVUuPath3ESZoukOlUsfRUR4nJ0UoiohQyIfhYTd4nombQYdSis3NQ+i6gWfPYgMjapiguYF0OodisYbZ2Tg4jomZQYXSpogpoFCoPErEfAshPBQlAEnyDJRX5ip0vfbghn0XYYKm+5TLtZbnRlEkhMNeBAIedhE3wFBKsbOTQ7WqYmYmDo7rf1HDBM0VUEqxtXUEVdUwMxMfGPXK+IolYirI5fIoFCrw+VwIhbzw+R7W6PFmrOOJohuy7IMgDG7fIsPQUCo9rns3EzT2YQ35rSOXy+P0tASHQ0Io5GsNP2QMHru7x8jnK5ibG+37C3cmaL6BUoovX7KglGJqKsrEzABBKUU+X0EuV0A+X4bX60Qo5MPQUCdEzHUQcJwASfJBlr0D6bUxTQPlcrNh3/1DUEzQ9AZNcXN0lMfZWQlOp4xQyItAwN33Gx/jMpnMKY6PC5ifT/R1yPGuguZJlPVQSvHxYwaSJCCV6ny3VkbnoZSiULBEzPl5U8R4MTXVudECt1gE09RQq51AVfOPnqTdi3Cc1bCPlXX3N4QQuN0K3G4FlIZRKllhqe3tHFwuueG5cTFxMwDEYgHwPIeVlTQWFpIDnyQ+8ILGNE28f78Pt1vB2FjIbnMYj6RarWN//xTn52V4PA6EQj5MTIz0UJzYEjal0t5AihpCCFyuEdRqx6jXbxr3wOgHCCHweBzweBxIpcIoFmvI5fLY3j6E2+1ANOpnQxD7nEhkCDzP4d27HSwsJAd6lMbg/mewur2ur+/C73djdHTYbnMYj8AwTKTTxzg7K2FsLISJiUhPX0E2RY3HMwpCBk/UOBwhECK2taybYS+EEHi9Dni9joYHtIp0OgdR5DExMTLQG+GgEwx6G56anYFuINu7O8Ij0XUDq6tphEJeJmb6GEopjo8LWF7egiTxePUqheFhT0+LmSamqTUmXw/msEdFGYLTOYLLgy8ZgwAhBD6fEwsLSQSDXrx7t4P9/RPcJ+eS0Vv4/W5MTUWxuppGtare/oA+pPd3hQegaTpWVtKIxfwYGfHbbQ7jgVSrKlZX0zg+LmBxcQzxePcGPLYL01RRLO41xnsMHpLkgseTACHs6n0QIYQgGPTi1asUVNXA0tIW8vmK3WYxHojP58SzZzGsre2iXK7d/oA+Y+AEjapqWFlJI5kMIhTqrzk6DAvDMLG9fYT37/eQSATxww+jfe3uNk0VhUIa9XphIK9weV6C15sAzzvAvDWDCc9zSKXCmJ2NI53O4cOHfajqw0v4Gfbh8TgwOzuK9+/3USxW7TanrQyUoKnVVKyspDExEcHwsMducxgP4OSkiOXlLQiCFV4aGnLZbVKbsKbKl8sHME3DbmPaDiE83O5YYxgnEzWDisMhN8JQHhaG6mNcLhnz8wlsbGQGyuM2MIKmUqljbW0X09PRAdoEnw7N8NLRUR4LC0mMjvZfeOl2KHS9gkJhB6paGriNwEoWDsLhCIGJmsHlchhKZ2GoPsXhkLCwkMSXLwc4PS3ZbU5b6F8//gVKpRo+fNjHDz/E4XYPbrfWQcQ0reql09MSJiYiT0SMmqhUDkEIgSh6IElu8Pz30737FVn2gueltoxLYPQuVhgqgkikjs+fs5BlAalUpK/Dw08NWRaxsDCG1dU0TNNEMOi126RH0fcemkKhgg8f9jE3N8rETJ9xclLE0tIWBIHDy5eDFF66CxSUmlDVPEqlDPL5LZTLh9C0ykB4bgRBgceTBMdJYN6awcbplLG4mEQgYIWhMpnTgXgPPxUkScDz52PY2zvB4eG53eY8ir4WNOfnZXz6dICFhQScTtlucxh3pFb7NrwU7KHGeHZAAZjQtCLK5QNo2mC4fzlOgMeTgCg+JaH6NCGEIBSywlC1mobl5S0UCiwM1S8IAo/FxTEcHp4jkzm125wH07e+wdPTIra3cwPdJGjQME0Tu7snODkpYGJi5Il5ZO7OIDXiI4TA6YygWu2X/4mANQp8ODzPYWIigkqljs+fDyDLIiYmIhDFvt1qngw8z2FhIYn19T0YholEImi3SfemLz00uVwBOzs5LC4yMdMvnJ5a4SWOI3j5coKJmRvg+cF6T1uiJgSOE9G74ScCQXAO5FBRO7DCUGMIBNx4+3abhaH6BI7jMDeXQKlUw/b2Ud+9Zn336c1mLZfY4uIYU/19QK2mYm0tjWz2HAsLSSQSTz28dBt0YJvUEcLB5eq1zsIEouiGx5OA2x2DogTQW/b1L1YYytcIQ6mNMNRg9T0ZRDiO4Icf4lBVHV++HPaVqOkrQbO/f4JcLv8kpob2O6ZpYmcnh7W1XcRiAczNJZg37Q4Qwg9MtdNViKILbne8JzwhPK/A603C5RoBz0sAAEli/avaDc9bs6CePYtja+sQGxsZaBprytfLEEIwPR0FIcDGRqZvRI39q8odSadzOD+vYH4+AZ7vG7OfJKenpVZ46dWrFPx+t90m9Q1WWGawEQQFbnfC9lwhQr5/vgnhGs0BGe3G5ZLx/PkYhoZcePt2GwcHLAzVyxBCMDERgSyLeP9+D6bZ+69VzysDSik2Nw9RqdQxNzfaF0MJnypWeGkX2ezZhfASe73uDoEgPI3WAzwvwuNJQpK8sCvEo+v1KzdUWR4CCzt1BkIIwmEfXr5MoVJRsby8PXDt9wcJQgjGx8PweBxYX9+FafZ2X6meDtZTSvH5cxYAxcxMfKBd8f2MaZrY2ztBLlfAxESEeWTuBYGVx+GCJHkgCA67DeoaHMfD6QxDlv2o1Y6haRV0u8LIMOrfiUiOEyCKTmhauau2PCUEgcfk5AjK5Ro+f87C4ZCQSoVZXmSPkkgEwfOnWF1NN6IkvZny0bOXz5RSfPyYAc9zmJqKMjHTo5ydWeElACy8dGcICOEhST643XH4fCm4XBGIovNJvs95XoTLFYXbPQqeV9A97whtiKjvkWV/F+14urhcyjdhqDMWhupRYrEARkb8WFlJQ9N6cx5dT8ph0zTx/v0+3G4FY2Mhu81hXEG9ruHLlywoBebnE1AUyW6T+gQCRfFDlv1PUrzchCDI8HhGoWkVVKs5mKaOTntsdL0MIHCFLQo4ToRpqh09P+NrGCoQcGNnJ4e3b7cxOTkCj+fpeCv7hXDYB44jWFnZwcJCsufGXPSWNQAMw8T6+i4CATfi8WG7zWF8gxVeOkUul0cqFUEgwDwy94EQwsTMLYiiE4KQhKqWUKsdN+ZBdUbYGIaVR3PV66EoAVQqhx07N+My34ahnE4Z4+NhiGJvhjeeKsGgFzzPtURNL1Wv9lTISdcNrK6mEQp5mZjpQZrhJUopXr1KMTFzbwgUJcjEzB2whJ8HXu84FGUY1lJF7vB17zPBMGpX/kUUXey1soFmGMrrdeDt2y1ksywM1Wv4/W5MTUWxuppGtdo7Xsye8dBomo7V1V2MjgYQCrGyyV7ia3iJsvDSI+A4nvU5uSeEECjKEGTZd2Fy98XNjcLa6yhUtQRVPW9sfnffAK0Bmlef20pY/na2DdtcOw0hBJHIEIaHPdjePkI2u42pqRG43SwM1Sv4fE48exbD2touZmfjcLnsr9DsCUGjqhpWV3cxNhbC8DBb8HsF06TY3z/B0VEe4+Nh9to8CgKHI8Su+B8IIeTWvjUORwCK4oeuV1CrncEw6rhZfFj5TBx3/XFleQiC4ASlBig1G19G69Yw6jAM9ZbzMB6KIPCYmoqiVKrh8+cDuN0KxsfDrLFqj+DxODA7O4r37/cwMxOzPe/JdkHT7F0yOcmGFfYSZ2dlbG1lMTxsTdBl/WQeB89LEASn3WYMPIRYJfCi6IJhaFDVPOr1fOOv9Lv7Wj1nbj6eIMg33kdVS6hWcx3N9XnquN0KXrwYx9FRHsvLWxgdDSIS8bELhB7A5ZIxP5/A+voupqai8PnsW+dsFTRNMTM9HYXXyxb7XqBe17C5eQjDMDE3x8JL7cIafMgW327C8yIcjiAUZRiqWkS9fg7T1GCJjmY+0+OFuiS5IYpO1GqnDfHERE0n+D4MdYapqSjcbvtDHU8dh0PCwkISa2tpTEzY55ywTdBQSvHhwz6mppiY6QVYeKmzWGEJhh1YnhgvZNkLw6ijVjsHpXpb85kI4eBwBCFJXlQqhywM1UFYGKo3kWURCwtJvHuXxosX9gyPti2OsLd3Aq/Xaat7imFxfl7G8vIWDMPEq1cpJmY6gOUZYNgNz8twuSKNAZnt95jxvAS3exQOR+hCsjEL13aCZhjK7XZgeXkLh4fnrBrKZiRJxNhYqNHhv/vY4qEpl+vI5Qp4+XLcjtMzGlwML83OjsLhYOGlTmE1iWM8BS56hCg1oes16HoFmlZuCNtmifnXaixCuHtXZzGs53pkZAjBoAdbW0fIZs8xOTnCwlA2Egp5cXxcQC5XQCjk7eq5uy5oKKXY2MhgejrKEk1tglKK/f1THB6eY2wsjGCQeWQ6j3ltAzfG4EIIB1F0QhSdcDiCLYHTrNqyvjgQQlCrnTVKxJmouS+CwGN6OopisdoIQzkwPh5iYSibmJoawdu32/D5nF3tJtx1RZFOH8Pvd9le3vVUKRQqWFragq4bePkyxcRMF/naR+XpYU3ptWYn1et5VKunTzI80BQ4guAAz0vgOL4lcq0SceZZeAwej6MRhpKxvLyFo6P87Q9itB1RFJBKRfDpU6arn/OuemhKpRpOT4t48SLVzdMyGpycFLGzk2PhJRvgOOnGfieDhGnq0LQyDEOFYdRhmlqjZ4uKcjmLpgdCklzg+ZtLop8ShBA4nSMoFneetPh9LFYYyo/hYQ8+fsygVtOQTAbtNuvJMTzswfFxAUdHeUQiN7dHaBdd89CYpomNjQyePYuB45jbvdscHeWRTh9jcTHJxEzXIZCk7saS7aJeL6BQ2EG1egxVzcMwaqD04mTer71aDIMlSn8Lx/FwuWJgk74fjygKmJ9PoFKpYWvr8El6BO1mcnIEu7snqNe781nvmqDZ2ckhFPL2RHvkp8bBwRkODs6wuJi0pZSOQSFJgz33ilIT5fIhqtUcLia73vCIRidfxrfc1hGZcXcIIZiZiUPXjdb4Fkb3sAaORrCx0Z3QU1cETaFQQT5fwegoGzjZbfb2TnB8XMDCQpIlyNmEFW4aXCFpmgaKxV1oWgn3SWi97LlhNKnXz8ASg9sHIQRTU1FwHOnaxsr4it/vhqJIyGbPO36ujgsawzDx6dMBnj2LsQqPLkIpxc5ODoVCBfPzCfA8qyizh8EPNxlGrVGWfr+BkA4Hy2v4FkpNqGrRbjMGDkIIUqkIFEXC+/d7jSR1RreYmIggkzlFrdbZBqMd3+W2t48wMjIEp5Ml/3ULSim2tg5Rq6mYnR1l5fE28xTCTfeB4yR4PKNtGTswaNTrBbtNGFgIIRgbC8HrdWJtbReGwURNt+B5DlNTUXz82FkPWUdXlPPzMkqlGmKxQCdPw7gApRSfPh3ANCnzitkMIRzc7vhAh5sAQBTdcDrDjdyPm99vPM/EzHVQSlm4qQuMjg4jGPRidTUNXWdhz27h8znhdivIZE47do6OrSqGYSVhzcywTbVbNOdjiSKPyckR9rzbBgHPK/B4xp5EXxFCCCTJA693rDG9+ur3HSEEbjcTM9eh6xVWrt0lolE/olE/VlbS0DTWxbtbpFJhHB6eo1LpTEFAx1aWzc1DxGIBNq25S5imifX1XbhcClKpCBMzNiIISsMz87SSsK0BjcPwescgipen7XKcAI6TmJi5gVqv7YXUAAAgAElEQVSNeWe6STjsQzIZxMpKGqrKRE034DgOU1OxjiVnd8QXfnZWQq2mYWoq2onDM77BMEysre0iGPSw8J7tcHA6n7ag5DgBLtdVn/3tbpvSV7Ay9u4zPOwBx3FYWdnB/HwSiiLabdLA4/U64PO5sLd3gkSivYUBbb9csur9D1n+RpfQdQMrKzuIRHxMzNgOgdMZHvicGUZn4HnmzbYDv9+F6eko1tbSqFaZqOwGY2NB5HIFlMu1th637YLmy5csEolhyDJTup1G03SsrOxgdHS4a62lGddBIIquga9oYnQOQXDabcKTxet1YmYmjrW1vbZvsozv4TgOz55ZoSfTbF/oqa2C5uSkCF03EA772nlYxhXU6xpWVtKNadmD3eekHyCEg9MZttuMnoRSCk3TWEOzWxAEB9jIA/twuxXMzY3iw4d9FItVu80ZeNxuBYGAB+l0rm3HJPdZZAgh9Ozs05V/0zQdb99u4/nz8a6OC3+K1Goq1tZ2MTk5gqEh1+0PYHQYArc71tiQnhZWqXEd1WoVtVoN1Wq19X2tVoOmWTNcBEHA+fk53G43eJ6HoihwOByt2+b3iqI82b5JlJrI5zftNuPJw9bX7kEpxfLyNqamRuDxXL9++v3ToJTeqvbbJmjev99DMOhFKMS8BZ2kUqljfX0PMzOxG98AjG5BIMu+gex6a5pmS5hcFCrNW8Oweng0hchFgdK8FcWvoef//u//xn/9139B1/Ubj0spBSHkO7Fz8ZbnB7OCrFDYgWmyoZ12U69rWFvbxfh4CIGAx25zBppKpY4PH/bx8uX4tRczdxU0bXGl5HJ5AGBipsOUSjV8+LCP2dk4G/JpKwSC4ADPy+B5CaLYf3kzhmF8JyQuiotvRUXz1ufztX4WhIctH4IgwO12w+2+/nlriqmLtp2fn7e+b7auv2jftwLoopjqF9zuGEqlg4aoYSE6u5BlEYuLSayupmEYlO1tHcTplBEOe7G9ncPERORRx3q0oFFVHTs7Obx4kXrsoRg3UChU8OnTAebnR+FwsDES9kGgKAEoit9uQ65F07Qrwz/N7wErKe+iUHE6nQgEAq3f2R324TgOTqcTTuf1ibKU0u88PblcrvWzrlu9RSRJutLL0/Qg9VI1JseJ8HgSqNVOUK/nwUSNfYiigMXFsdaYhJERVnjRKeLxYbx7t4NCoQKv9+HJ8Y8SNJRSbGxkkEpFIIqD6QLuBc7OStjcPGR9EnoCCknqDRd0pVJBJpNBsVhEtVqFqlqD3wRBuLR5ezwehMPhlhejlzbwx0AIaQkTv/9qgUkphaqqlzw9Z2dnyGQyqFarrRwfURShKApcLhei0Si8Xq9tz5P1fwUhCE5UKlnWPdhGBIHHwkKyJWricdYaoxMQQvDsWQzr67t4+TL14GHKjxI0R0d5iCKP4eHeWOAHkZOTInZ2clhcHGPJ1j0Azyu29pmpVqvY39/HwcEBeJ5HLBZDKpWCw+GAJEkDI1baBSEEsixDlq/3alJKoes6qtUqisUiNjY2UC6XEYlEEI/H4fF4bHleRdEJjyeJcjnbaLrHvDV2wPMcFhYSeP9+D4ZhIJkM2W3SQOJwSIhG/djaOnxwU94Hr8z1uobd3RO8fDn+0EMwbuHoKI9M5hSLi2PMA9YxCO6+UZDGrKLuUq1WkclkcHBwAEII4vE4Xr9+feMmzbg7hBCIoghRFOH1ehGPx6HrOg4PD/HhwwdUKhWMjIwgFovB6+1uLgXHCXC741DVAlS10BA293nPMtoBx3GYm0vg48d9bG0dYnw8zC4eOkBzvtb5eflBFWYPqnKilGJlJY1EYhh+f/8lRPYDBwdnODrKY34+AUFgYqZTcJx0jwRMAp9voisLWa1WQyaTQSaTASEEsVgM0WgUitK/yeDNKqd+Q9d1ZLPZVpiqKW48nu57pk3TgK5XoKpF6HqzVwoTN92CUorPn60LCzYAuDPUahrW1tJ48WK8tfd1tMrp4OAMTqfExEyH2Ns7wdlZCQsLyQfHEhl3gUBRhsDzMkqlDCg1bry3KLo7uoDVajUcHBwgk7EGt8ViMfz00099LWIGAUEQMDo6itHRUWiahmw2i/X1ddRqNYyMjCAej99YsdVOOI6HJHkgSZ5GqKwKTStB08qNXBsmbjoJIQRTU1FsbR3i48cMZmbYiJ92oygi4vEANjetEUr34d6CplpVcXBwhpcvWVVTu6GUIp3OoVyuY34+YXulSX/SXFwoOE4EIfw1+QcEHCdAEJzgOAFe7xjK5Wzjqpd+cywLWW5/B+x6vY6DgwPs7++DUopoNIq//e1vcDhYj6FeRBRFJBIJJBIJaJqGg4MDrK6uQlXVlrhxubrTjM0KlTkhik5QSmGaGjStBFUtwTRVsNBUZyCEIJWKIJ0+xvv3e/jhhzhbq9tMJDKE4+MiTk9LCATufrFwb0GzsZHB1FSUeQ7aDKUUm5uH0HUDs7OjTPXfGwJJ8kAQnOB5qSFmCCilyOe3YC3s1nMqSR7Isg88/zUHhRAOLle0caWrt47ZvOU4/tL9H4Oqqi0RYxgGotEoXr16dWOJMqP3EEURyWQSyWQSqqoim83i3bt30DQN0WgU8Xi8a68pIQQ8L4HnA1CUQCM0VUa1enrh/cxoF4QQjI2FsLd3grW1XczNJdie2Easqqco3r1Lw+u9+8XdvQWN263A52MLbzuhlOLTpwNwHGFTyh8EgaL4oSjfl1RazeH80LQyZHkIoui69vklhHRsuGRTxGQymdaG9/LlSyZiBgRJki6Jm4ODAywvL7cEazwe76rXzQpNeQEQVCpHYJ6azjA6Ogye57C6mmb5jm1GkkQkk0F8/nxw58fcW9CkUmwAXzuhlOLDh30oisgy5x+ENXrgKjHTxBI73W+E1wxJZDIZqKqKaDSK58+fdy0kwbAHSZIwNjaGsbGxVkhxaWkJpmkiGo0iFot1TdyIInuvdZpo1A+e57CyksbCQgKiyNprtItw2Ifj48Kd73/vZ57FCtuHaZp4/34PHo8TyeTgzQJqDwRfcwEoAA4cJ4DjxIaLXe6pRbuZNJrJZFCr1RCNRrGwsNC1pFFGbyHLMsbHxzE+Po56vY5MJoP/+7//ayV9x2KxjiZ9E8JBEBzQ9UrHzsGwNt6voibJeoa1kenpu/ekYc+6TRiGibW1XQSDHsRirPvk91g5AZLkBceJLRHTix4sTdNweHiI/f39VuXL3NycLWW9jN5FlmWkUimkUqlWWf5ff/0FAB0ty5dl3zfJ7oxOMDzsaYiaHczPJ6Aokt0mDQT38XgxQWMDum5gdTWNaNSPSITNB7mMNfhRUQIQhN4tV242Xtvf3281Xpudne164zVGf6IoCiYmJjAxMdFqnPjvf/+71TgxGo22rXGiILA8rW4xNOTC9HQUa2u7mJ0dhdPJml92EyZouoym6VhdTSORCCIYZJvfVwhE0QVFCYDne/PKRtd1HB0dYX9/v9Ua/4cffrCtNT5jMHA4HJicnMTk5GRL3Pzxxx/geb4lbiTp4Z8Jq7zbDU0rttFqxnV4vU7MzMSxvm6VdLvdvXthNmgwQdNF6nUNa2u7GB8P36u2flAhhAfHiRAEBbI8ZOuMpOswDKMlYkqlEsLhMJ49e2br8ELG4HJR3DSHj/7+++8QBKGVcyOK9x9QK8teaFoJLOzUHdxuBXNzo1hf38OzZ7F7lR4zHk7v7SADSrWqYn19F1NTI/D5eieJ1R4IPJ5Ez3pimmSzWXz48AGhUAhTU1Pw+XxMxDC6htPpxNTUFKamplAul5HJZPC///u/rSTj+7wXeV5p9WVidAenU8bCQgJra7uYnBx50Gwixv1gJUtdoFKpY21tF8+exZiYAYGiDPe0mCmXy/j999+xv7+PN2/eYH5+HkNDQ0zMMGzD5XJhenoav/76K2q1Gn777Tecnp7e+fFWjyUW4u42iiJhYSGJzc1DnJ6ykF+nYR6aDlMqVfHhQwazs3G4XCyWyvNSR0YItAPDMPD582dks1nMz88jGGSl9IzeQhAEzM7OIpFIYGVlBYqiYG5u7k4JxJLkQb2eBws7dRdZFrG4mMTqahqGQREKMWHZKZiHpoPk8xV8/JjB/PwoEzMAAAKXqzcn1B4eHuK3334Dz/P49ddfmZhh9DRutxtv3rxBJBLBP/7xD2xtbd0aTuJ5GYSwTrZ2IIoCFhfHkMmcIps9t9ucgYV5aDrE2VkJm5uHWFhIQpbvn8TXv3wdDknI1yZ4HCdBFF3guN56LiqVClZWVsDzPH7++Wc2FJLRNxBCEIvFEA6HsbGxgd9++w2Li4vw+6/vis3zEnSdzXayA0HgsbCQxPr6LgzDQDw+bLdJAwcTNB3g+LiIdDqHxcWxJ9Ix0hIxouiCJHnA8xIIEXrSE9PkYnhpbm4OoVDIbpMYjAchCALm5uZQLBaxsrICp9OJ2dnZK8NQpqnZYCGjCc9zmJ9P4P37fRiGiWSSrTvthIWc2szRUR57e8dPQMxYIwlE0QOXKwqfbwIu10jLC9PLYubo6OhSeImJGcYg4PF48MsvvyAUCuEf//gHtre3vwtDUWrYZB2jCcdxmJsbRaVSx+bmIas8ayODvON2ncPDc2Sz51hcTILnBzFWbYkUQXBAln0QBGdPC5dvqVQqWF1dBcdxLLzEGEianYYjkQg+fvyI//3f/8XCwgL8fj8opaDUtNtEBqzXaWYmjs+fD7C5eYjJyRG7TRoImKBpE9VqHXt7J3j5MgWe7zfHFwer8uGiOLn4swmelyFJXkiSB4T01/9nGAa+fPmCTCaD+fl55pFhDDyCIGB+fr4VhnK5XJiZmcbXQa8MuyGEYGoqivX1XZycFDE8zGa/PRYmaNoApRQfP2YwPR3tMzFDGt4WL75OtcYFr4v1O47je7KL7104OjrC+vo64vE4/vM//5NNi2c8KZphqEwmg3/841+IRr0YGWENInsFQgimp2N4924HXq/jXoMYGd/Dnr02sLd3Ap/PCa+3X4bAEXCcCKczBEEYzLBLtVrF6uoqALDwEuNJ0wxDBQJurK+vYnl5G1NTI/B42GeiF5AkAWNjIXz+nMXs7Kjd5vQ1TNA8knK5jlyugJcvx+025c4QYo0eGMSrNNM08eXLF+zv72Nubg7hcNhukxiMnkCSHJicHEG5XMXnz1k4nRLGx8PMK9ADhEJeHB8XkMvlEQr1ZuPRfoD53x8BpRQbG/t49izaV6GMQU0MzOVy+J//+R9QSvHrr78yMcNgXIDnJTidEbhcDjx/Pgafz4W3b7dxcHDGKm16gKmpKHZ2jqGqrE/QQ2HS/BGk08cIBDxwu/vNdUtAqQFCBuPlb4aXKKV4/fo1nM5+Cf0xGN1FktwwTR212gnCYR8CATd2dnJ4+3Ybk5MsDGUnosgjlQrj06cM5uYG04PeaQZjR7OBUqmK09MiXr5M2W3KAyAwTa1vE32bsPASg3F/FGUIlOqo1/MQBL4Rhqo1wlAyUqkwBGEQ2070PsPDHhwfF3B0lEckMmS3OX1H/8RJegjTNLGxcYBnz2J9qqIpTLO/3Zq5XA6//fYbCy8xGA9AUYYhik40KxtdLgXPn4/B63VgeXkL2ew5C0PZxOTkCHZ3T1Cvs67O96W/L9FtYmcnh1DI28cDJ/tX0FSrVaytrcE0Tfz9739n4SUG4wEQQuB0jqBU2odh1Fq/i0SGMDzswfb2EbLZM0xNReF29+s6159YXrMINjYyWFhI9ulFsz0wQXNPCoUK8vkKXrwYt9uUR0D6LtxkmiY2Nzext7eH2dlZRCIRu01iMPoaQgjc7hiKxd1LM54EgcfUVBSlUg2fPx/A7VYwPs7CUN3E73fj+LiIbPYM0WjAbnP6BhZyugeGYeLTpwPMzPRrqKkJ6bmp1zdxfHyM3377DYZh4Ndff2VihsFoE4RwcLvjV3b/drsVvHgxDo/HgeXlbRwesjBUN5mYiCCTOUOtptptSt/QX5fpNrO9fYSRkSE4HN9Pse0vTPC8ZLcRt1Kr1bC2tgZd11l4icHoEBwnwO0eRbG4i2/HInwbhjo4YGGobsHzHKamovj4MYPnz8f6/CL64ZRKtTvf996CZmVlB5OTI3A6+31Tvx/n52WUyzVMTAyCd4Dr6XlMpmlia2sLu7u7+OGHHzAywga3MRidhOcluN0xlEoZXDXr6WsYqsrCUF3E53PC7VaQyZwiHh+225yuomk6trePUC7X7/yYe+9qyWQIHz/u48uXLHT9aYyit4YbZvu4qukyPN+7jrnz83P89ttv0HUdv/76KxMzDEaXEAQHnM4wLg+pvYzb7cCLF+Nwu61qqOPjQvcMfKKkUmEcHp6jUrn7xt7PmCbF3t4J3r7dgc/nule+6r0Fjc/nxMuXKbhcMpaXt3BwcDrwcdXNzUPEYgEoSu+HaW6HQBB6M3RzfHyM5eVl/Pjjj5iZmQHPs6s/BqObSJIHihLATaKGEIKRkSG8eJFCJnOGTOa0ewY+QTiOw/R0DBsbmYHfa09PS1ha2oSuG3j1KoVw+H6DVB8Ud7De0H68fJlCtaphaWkL5+flhxyq5zk9LaFW0zAyMghNjggcjiAUpfdcl4eHh1hbW8ObN2/gdrvtNofBeLIoih+S5MVNogawOtsuLCRwelrC7u5xd4x7ong8DgwNubC7e2K3KR2hUqljZWUHh4fnmJ9PYnw8DJ6/vzx5VCKFIPCYmIhgdjaOvb0TrK/vDlRGtq4b2Nw8HIBQk+WV8XrHIMv3U7zdYH9/HxsbG/jll1+gKCzZkMGwG4cj2PDk3rxWcByHubkESqUatraOBt6DYCfJZBDHxwWUy3dPku11dN1K5/j4cR/JZAizs6NQlIdX4LYlM9ThkLGwkEQ06sf6+i62to5gGP0/APHLlywSiWHIcv+UOH8PgdMZhtsd68neM+l0Gtvb23jz5g0kaRBCegxG/0MIgcs1cqdqSI4j+OGHODRNx5cv2WtEDYHLFevpYoReh+M4PHtmhZ5Ms7+FI6UUBwdnWF7egssl4+XLFHy+x6dCtPXd5fe78erVBCSJx9LSZl/3LTg5KULXTYTD/T3KXRCckCSP3WZcyebmJjKZDN68eQNR7GfRyGAMHpaouduFECEE09NREEKuzPUQBAWi6ITTOYLbvD6M63G7FQwPe5BO5+w25cGcn5extLSFarWOly9TGBnxty1q0Ha5TAhBPD6MFy/GUShU8fbtNgqFartP01E0TcfW1mHrA9rP9Kr9GxsbODk5wevXr1nyL4PRo3AcD7d79E6eFUIIJiYiUBQR79/vXfAiEChKEAAgik6IohtM1DycRCKIs7MyisX+2ldrNRXr67vY2zvBDz/EMTEx0vay/475/0RRwPR0FNPTUWxvH+LDh/2+Gbb16dMBxsbCkKTeC9Hcl15z8VJKsb6+jlKphB9//BEc11v2MRiMy1iN9+K4iwghhGBsLAyv14n19V2YpglBcEAQvvYtczpDF9Ylq2s5If2/1nYLQghmZmL49OkAptn7qR2GYWJ7+wjr67sYGfFjYSHZsT52Hd9NXC4Fi4tjCAY9WF1NI53O9fSLkMvlQQhBKOS125S20EuChlKKlZUV6LqOV69eMTHDYPQJPC/D5Yrirp6V0dFhDA97sLKShiheDtsTwsHrHYPXm4LPNwGvd+zW/jeMyzidMsJhH7a3ezf0RCnF4eE5lpY2IYo8Xr2aQCDQ2QrWruwohBAEg168epUCIQRLS1ZDpl7Lr1FVHTs7x5iaitptShvpjUXCNE0sLS1BEAQsLi72bCiMwXjqmKYOTat8tz6LohMORwh3XVOiUT9GRyP4888lqOrl6ldCOHAc31oHBMHB1oR7Eo8HUCxWkc9X7DblO4rFr+kmL16MIx4f7srr29VLZI7jkEgEsbiYxMlJESsrOz1TgkYpxcZGBqlUGKI4ODkdveChMQwD//73v+F2uzE3N8cWLgajR6GUoljcRbmcQaWSBaWXvemy7IWi+HE3UUMwPj6Dqakp/Otf/0K9fn2nW0IIRLE3ixd6FUIInj2L4fPng56pKlZVDR8/7rdyUKenoxDF7oUTbdntJEnEzEwcqVQEnz4d4NOnA2iabocpLY6O8hBFHsPDg/Whsls86LqOP/74A8FgEM+ePbPVFgaDcTOqWmiJGE0ro1DYga5fvuiUZX+jcvK2xntO8LyEkZERzM7O4p///Ceq1esTWWX59mZ+jMs4HBKiUT+2tg5ttcM0TaTTx1hZSWN42IPFxTG4XN3vKWbr5bvHY80F8fmcePt2B/v7J7aEoep1Dbu7J5icHLS5QVbCnV1omobff/8d8XgcExMTttnBYAwSlNKOrZP1+jkuDqek1ECptI96/evMJkIIHI4QBMEBS4A0v4DmmiMITjgcwdZjQqEQnj9/jt9//x3l8tVd5XleBscNjne8W0SjflQqqi3d+imlOD4uYGlpCwDw6lUKwaDXtgtp21PLCSEIh30YHvZgd/cYS0ubGB+PdDx5qAmlFB8/ZjA52f4SMvuhjUWn+6iqit9//x2Tk5OIxWK22MBgDBKUmqjXCw3RAXg8o21vlslxAkzz22pUimo1B54XW+tJs/GeqhZBCA+OE8HzAgi5fg0NBAJ49eoV/vjjD/z444/wer8vvJAkH2q1U1w18ZtxNc3Q09paGi9ejHdtHyuXa/jyJQtZFrG4mIQk2d9LzP4EiwY8z2F8PIy5uQSy2TOsrqZRrXZ+uujBwRmcTgl+v6vj5+o2PK/YkkNTq9Xwz3/+E8+ePWNihsF4JIaholI5Qj6/hVrtBJTqoFRHsbgLw2jvqBmev66clqJUylw6HyEcZNkHSXJDEOQbxUwTn8+Hn376CX/99RfOz8+/+7skeRteZRZ6ug+KIiIeH8bmZudDT5qmt1JFUqkIZmbiPSFmgB4SNE0URcLcXAKjo8N4/34fm5tZ6LrRkXNVqyoODs6QSkU6cnx7IY0GVt2lUqngX//6F+bn5xGJDOLzymB0D0pNFItpqGoBltfi23DQHgyjfRd+1qiD68QERam0D9N83Hrs8Xjw+vVrLC8v4+Tk8rBFjuPh9Sbh8SQhy4GGB4qJm7sQifigqjpOT0sdOT6lFPv7J3j7dgc+nxMvXozD47EnAnAdPSdomgwNufDqVQoOh4zl5S0cHJy1NW7crGqamoo+aKpnPyBJ3fU6lUol/PHHH3jx4gWCweDtD2AwGLdAbvCaNAXP40VGE467eXYTpQbK5e9HG9wXl8uFn3/+Gaurqzg6Ovru7zwvwuEIwOsdh8eTgCz7H3W+p4AVeopic/MQmtZeJ8DpaQlLS5vQNAOvXqUQDvfekGOghwUNYL1A0agfL1+mUKnUsby81baa+/39U7jdSlsGYtnLxYS8C79txLW7RT6fx59//om//e1v8PvZ4sNgtAMrVyV6S+iYQtfbsy5aHpqbxYphqKhWjx99LofDgTdv3uDDhw/IZDI32uRwDN8ppPXUkSQRyWQQX74ctOV41Wodq6tpZLNnmJtLYHw83NMOgN617AKCwGNycgQzM3Hs7h5jfX0XtdrDY8eVSh1HR+dIpcJttNI+JMkLWQ5AEJytFuKS1L1w0+npKZaWlvD3v//9ykQ/BoPxcDhOuKVLL22EpB6P1fDu9hwW02xP7o4sy/jll1+wtbWF3d3d26xryzkHnXDYB9O0qo8eiq4b2NzM4v37fYyODmNuLgFFuX3yut3YXuV0H5xOGQsLSZyelrC2tovhYQ8SieC9FGMz1DQ9HRuY1vs8L0GWv7YX72bp+/HxMVZXV/H69Ws4nf3u7WIwehNBcEBR/KjVznCVB0XXa6DUbEsRgMeThKoWUK+fNUJZFAABIQSC4GokAbcvd0IURfz888/4888/oes6UqnUlfcjBLh9abPKxq3E6d5oNmcH09NRvH27DZ/Pea/GdpRSZLPn2N8/QTw+jFQq0pOhpevoK0HTJBBwY2jIhUzmFEtLW0gmgwiF7lb7vrt7jKEhV88lMz0c+l38vFtvwMPDQ3z8+BFv3ryBonS/iRKD8ZSQZT80rQrDuLo5naZV2uKZJYQ0qpe8MIwadL0GUXQ1hkh2Zm0RBAGvX7/GX3/9BV3XMT09fZVlN1kNnpfhcAxDEBwoFNKgtL0VYP2EKAoYHw/j06cDzM6O3ul1y+cr2NzMwut14uXLVF+2MelbFwXHEYyODuPFizHk82W8fbt96zj1crmG4+MiksnBSljV9XLXGxLu7+9jY2ODiRkGo0s0e79cnUtCoWnFtp+v6RnieanjF0o8z+Onn35CoVDA+/fvr1jTrjo/gSA44fGMwuMZvdQn56kTDHrBcRxyuZtDT7Wahvfv95BO5zAzE+/rnmx9K2iaiKKA6ekYpqas7O6PH/ehqt+PUTBNq4Hes2eDE2pqYvWpyHZN1Ozs7GB7extv3ryBJPV+XJXBGBQ4jofLFcNVm/tVAyUBQFVLlzr99jIcx+Fvf/sbVFXF6urqpf/nskixZj95PEm43bHvKsF6YYZdLzA1NYJ0+hj1+rfNEgHDMLG9fYS1tTQikSEsLo7B6by+oq4fGJhX3e1W8Pz5WGNk/Q52d49hml9jqOl0DsGgB273IHoTKDStgmo113FRs7m5iYODA7x58wai2BvNlBiMp4QgyHA6w/hW1Hy7iVNKUa2eoFI5RLWaQ7l8aMtomftCCMHz58/BcRyWl5dbNjf/P0nywesdg8sVAc9ftwYxDw1gFdRMTFgzE5vPI6UUR0d5LC1tQRB4vHo10bXO/J1mYAQNYH0QgkEvXr1KgVKKpaUtHB8XUShUcHZWRiIxWKGmy1CoarHRNrwzbGxs4OTkBK9fvwbP96dLksEYBCTJA1keQnPjJoSHx/M1V4JSE+XywYXZTBSaVkKptNe2njWdhBCCubk5OJ1O/Pvf/4ZpmnA6w/B6U3A6Q7eOfGAemq8EAm5IkoDDw3MUi1W8fSQpKEUAACAASURBVLuNfL6MFy/GMDo6DI4bHPE3kK86x3FIJkNYWEgil8vj3bsdJJPDTyCuSlGv59t+FUYpxdraGsrlMn766aeBC9kxGP2IogQgCI6WmGn2nTJNDcXiLnS9issVURSGUUexmG5rd+FOQQjBzMwMAoEA/vzzT1DK3WN45aCv9fcjkQjiy5dDfP58gKmpKKanY/eqfuoXyH02P0IIPTv71EFz2s/mZhamSVEq1eB2KxgbC/XNCylJXgAElBqNL/PC7cU26NaHV5Z9UBR/WxtQUUrx7t07EEKwuLj4BEQh4zFomoZqtYparXbptl6v4+TkBKlUCg6HA4qitG4lqfMJp4NKcx1oeiR0vYpy+eAOJcsETmcYkuTpuI3tYGdnB/v7+/j73/9+a6ibUopCYetJl203MU0T+/unODrKIxj0IJ+vYHFxrO8+b37/NCiltxo90IImn69ge/sIz5+PAQCOjvLY3T1BNOpHLObv+RdVlgNwOALX/t167cxW/4l2d9I0TRPLy8tQFAWzs7M9/3wxOgelFKqqfidUmt+rqlUiKwjCJcHS/F6WZfzzn//E/Pz8d8e47rEXjyHLMnv/3UK9XkS1eoS7T6omjYug/vBe7+/vY3NzEz///PONxQj1egHVag5PeWI3pRSnpyVsbx8hFPI2QkscPn/OwumUEItdv6/0IncVNP3hqngAhmHi8+cDzM0lWh/WSGQIwaAX6fQxlpa2kEqF4ff3bjKUquYbHperX0fr93xHWoIbhoG//voLfr//mp4QjEGBUop6vX5JoFy81XWralCSpEtCw+/3IxaLweFwQBRv71HC8zxGRkau/bumaZeEUrFYxNHREWq1Gur1Oiil4Hn+SsGjKAoURXnS4dB6/QT328StELVh1O8wXsF+4vE4eJ7Hv/71L7x+/frKdhHWe/nq5oNPhXK5ji9fspAkAQsLScjyV49WKhXG8vIW/H43HI7Bq1AdWEGztXWIaNT/3YvG8xxSqTCi0SFsbh4ikznFxMRIT764lJowjFpbu3LeBdM08eeffyISiVzbtZPRn5imiZOTE2QyGRQKBRiGlSDaFARNcRAKhVo/d6uaTRRFiKIIj+f6MIhhGJfEVrlcxsnJSet3lFIQQuB2uxGNRhEOhyEIA7vMXUKSfI2igPuJGl2vIp/fAs/LEAQHBEEBz8u3Jt7awcjISEvU/PLLL5Dly2XGul6FaX7ftuMpoGkGdnaOUCrVMDERgdf7fed2nucwPR3Fx4/7ePFi/P+zd95dTazf27/uaemFQBJIqKIiRYRzVLDg73np3yXoUY8eEQSlSU+hBNIz/fljkgBKScKkMp+1XJ4jZGYyyczse+9rX7spMnPl0HjfWB04OUkjkxEwOHj1atBs5jAy0oPT0zR+/NiD221Db29HnQ2FCH4X8fF8vOYBzfr6OtxutxHMtAiqquL4+Bj7+/uIxWLweDwIBoMYGxtrum41mqZht9tht1+dWVUUBclkEqFQCKurq7Db7QgEAvD7/U33fsuB45y36HJUIcs5yHIOPK/dhyiKhdPZp+ch6oLX68WjR4/w7ds3PHv27MJDufyArvlRVRXh8AlCoRh6ejowONh5baDidFrhclmxt3fccp2/LRfQFIZqjY31lhR9ut02TE4OIBw+wfz8Jrq7O+D31340usnkAk2bz3nJaBelKKZ1m9FSColEApFIBK9fv67J/gyqQyGICYVCOD4+hsfjQSAQwPj4eMutyn6Hoii4XC64XC48evQIiUQC+/v7WFlZgdPpRCAQgM/na7nghqJosKwNopi65Za0e08jZzo6OzsRDoexv7+P7u5uAJrBaDN0b+nJyUkKm5sHaGvTnmOlfqf7+ryYn9+Cx+OAzdbcZnrnabmA5tevKILB9gt1w5sghCAQ8MDnc2F7+xDz8ye4d88Pl6tWwxY1+26WtYFlbcjlYuD5OAo3FkFIXhg+WS0KIuCJiYk7rUVoVjQhYAyhUAhHR0dFjcvY2Nid/TwJIcXgZnh4GPF4HPv7+/j58yecTieCwSC8Xm/LBDcmkxuimIYeWYpGD3zHxsYwNzeH9vZ2WCyWKwd3tiLZrIBfvyIACEZGusuehE1RFB4+7MLqaggTE61TemqpgCYez4DnRfj9lT38GYbG4GAnMhlNVFVwWSwnOKoMFTStCdwIoWCxdIDjnMhkDvIp4HhNAprV1VV0dXXB6XRWfV8G+qCqKk5OThAKhXB4eAi3241gMIjR0dE7G8RcBSEEbrcbbrcbIyMjOD09xf7+Pn78+AGXy1UMbpr5vDGMGRTFQFH+tLovl0YXCbMsi9HR0Xzp6akOmanGR5Jk7Owc4fQ0jXv3/HC7bRVvy263oK1NG/IcDLbreJT1o6UCmlAoht5e762jTavVhMeP+3B8nMT37zvo6NDa3mi6Ohc4IfQfhlE0zcFuD0IUtTksBbFjtTg5OcHR0RFevXpVtX0Y6IOqqsWH8eHhYfFhPDIy0tQP41pCCEFbWxva2tqKQeH+/j6Wl5eLQWFHR0dTnk+TyY1s9gi3zVY0ekCjqira213Y26Owvr4Iv791F2KqqiIajWNv7wiBgAeTkwO6PA+6u9vx7dsWAgFPS2RpWiagEUUJmQwPp1M/AW17uwNtbXaEQjF8/bqJvr4OdHQ4df/gtW4mATR9MW1ICAHHOapufiXLMhYWFvD333+3xJe6FVFVtVguOTg4KJZLhoeHW6ZcUi8IIfB4PPB4PMWy3f7+PpaWloplu2YKbjjOkQ9obkc17CD0QJZF5HJHEEXNCbmvz4X5+S24XKaySy/NQCKRwcZGFA6HBRMTA7o2rjAMDZvNjHg8c6tsT6PQMgFNNBqH3+/W/YFMUQTd3e3w+VzY2jpAKHSCwUE/7HY9O49UpNPRC7NYasnPnz/R3d19beeIQe3RHE81QWs0GoXD4UAwGMSjR4+MIKZKEELQ3t6O9vb2C91h379/R3t7ezG4aeTAnxAKHOeAINxuwnYjZmhUVUYqtQ9VPRMs07QmFVhdDTWlC+5V8LyIX7+ikCQZQ0OBqk3C7upqQygUMwKaRkFLx50WHYGrAccxePgwgFQqi42NKCwWDv39PnCcPqdQUQQIQqImWpnzHB8f4/T0FC9fvqzpfg0uR1VVJJPJYhBjs9kQDAYxNDRkBDE1Rht224GOjg6oqoqjoyOEQqELwU17e2O67JpMbghCErcpOxHSWI8HVVWRSoUvBDMF3G4bjo+TLaEHkWUFe3vHODpKoL/fh/b26mbonU4L1td5iKLUNGOBrqK5jz5PIpGBzWaqyYdht1swPt6Ho6MkFhe34fe7EAh4dElH13pFJEkSFhcX8fz584a8Kd81IpEIVlZWYLFYEAwG8eDBgztjCtfoEELg9Xrh9XqhKAqOjo6wt7eHxcVF9PX1ob+/v6FKUjTNgaZNkOVcxdtotAxNLnd8bVt2f7/mguvx2GGxNF8rshY0J7Gzcwi/34XJyYGafKcIIfD73YhG4+jubu5gsCXuluHwCbq62mq2P+3m5oTHY8fe3jG+ft28ZSStzVSp9aC45eVl9Pf3w2qtVXu6wWWk02ksLi6CZVlMTU1daulu0DhQFAWfzwefzwdJkrC2toa5uTmMjY3B42mcGTk2WyeSyb1LMxo3QxrKKZjnkxesLC7jzAU31HQuuKlUDhsbEVgsHB4/7tMt818qfr8LCwvbCAabWxzcON/YChFFCek0f6nNc7WhaQp9fV50dp6NURgc7Cyz1knAMGaYzdWLjFVVhSzzEIQkaNoMk8mBw8NDZDIZPH78uGr7NbgeWZaxtraGaDSK0dFRdHS0lmvnXYBhGAwPD6OnpweLi4swm80YGRn5w5K/HlAUA4ejB6nUXplt3AQsa2+YSdySxJc8dLPZXHAFQcLW1gGyWaEK2szSYVkGNpsJiUS2hv5r+tP0AU21xMDlYDKxGB7uRiKRwcpKCA6HBf393hLU6NoqSBsMp//xy7KmyxGEJFRVgXZDSEBRCL5//47p6emmjsabmUgkgp8/f6KnpwczMzMNVa4wKB+73Y7p6WmEw2G8f/8e/f396O+vf5aAomjY7d1IpfahKEIJryCwWn0NE8wAQDodRjlaoDMXXDtstsbMdiqKglAohkgkjr6+Djx4UJ1nQDl0dbUhHI41dUDT1HfRghi4UiM9vXE6rZiY6Ifdbsb8/CZCoVh+jMHvENC0CRaLFw5HT9m1ap7XghRZFv/YvqJIyOVOkEhsI5ncBc+fQlVlnN0QVCws/IfBwXuwWOqzGrjLpNNpfPz4Efv7+5iensbg4KARzLQImuN4ADMzM8hms5idnUUsVulsJf2gKBoORzdo2gRtXtxlEFAUB6ezt6GCGVWVyy6ZaS64Aayuhq64/9aX4+Mkvn7dhCyrmJwcgNdb+1E7l+F0WpFO8xBFud6HUjFNnaFJJLKwWmsjBi4VQgg6O93o6HBgZ+cIX79u5h0d7XlfGSc4zgWartx9OJc7unChalNyzRDFzLnU8uUX8vFxEpIkoa2NqbpZn8EZsixjfX0dkUjEKC+1OAzDYGRkBMlkEouLi7BYLHUvQxFCwW4PIp2OQJIyOAtsVBQ0fGZz43VsybKAP4f23ozdbobHo92D+/q8VTm2cjnvQD821lsDB/ryKIiDDw5Om7ZTrHEigQqotRi4HApjE7JZEZubB4hGMxgbG4fFcvtefy2WObvAC1Nyb0IUJWxuRjE+3g9ZziGXO4HF0jgixlYlGo3ix48f6O7uNspLdwiHw4EXL140TBlKC2oCRSNPWeYhSTlwnAMs25hlBknKodLW897eDszPb6K93V43bQqgjSvY2jpEMpmt8YzA8vH7XVhc3Gla5+CmDWgkSUY6nWvoLwdA4PEE0Nn5CEdHR/j8+TN8Pp8O7biVXeDr6xH09XnzCnoVPH8CmubAcYahXjXIZDJYXFwETdOYmpoySnx3kEIZyufzYWVlpdgN1dZWv4UYIRQYxgyGMdfc96pcbtd2TvDwYRArK/uYmKh9W72qqgiHTxAKxdDd3YHBQX/DBwksy8Bi4ZBMZuvSaHNbmjagiUZP4fM1Ru3xMgihYbMFwDBamtnr9WJmZgbb29uYnZ3F/fv30d1dqTNw+QHN4WEifxznb2AqMplo3rOi9SzD60WhvBQOhzE6OgqvtzFS3gb1g2EYjI6OFstQVqsVIyMj4DjjursOSbrad6YUbDYTvF4ntrcPMTDg1+mobub0NI1fv6Jwu226jyuoNpo4+KQpA5qmzH0XBnV1drrrfSiXQMAwFjgcvcVgpgBFURgYGMCrV69wenqKubm5mogGBUHC9vYB7t/vvOSnKlKpUL4LyuC2HBwcYHZ2FjRN482bN0YwY3CBQhnK6/Xi3bt32NraakjhaiOgqkqFHjoX6e5uRzyeQSKR0eGorieXE7C0tIv9/WMMD3fj3j1/UwUzAOByWZFK5SBJzScObsoMTTKZhcXCNZQYWIPAbPbAZLq+jZzjODx+/BiJRAJLS0swmUwYHh4uqSRR7s1PVVWsrYUwMOC/8nypqoRUKgy7PdCwGa9GJ5PJ4Pv376AoyigvGVwLIQTBYBB+v79hylCNSKWC4N8hhGBoKIjl5V1MTAyApvVfx8uygp2dQ5ycpDAw4EdbW/OW8Qkh8PlciEbjCAabS2PZaBFBSTSiGJgQCjZbFxim9AeZ0+nE9PQ0otEoPn78iEAggMHBQV1n9hwcxMEw9I0uxppI+BgWi9F9Uw6KomB9fR2hUMgoLxmURaEMlUgk8P37d9hsNgwPDxtlqDx6Tvu2WDh0drZhc/OqTHVlqKqKg4M4dneP0NXlweTkvZZYFHZ2uvPi4Lamej9NV3KSJBmpVCOJgTVPGa3EVP6qXGvz7sSbN29AURTevn2LUOg6/4TSVys8L2J39xiDg6VcwCp4Pp4faGdQCgcHB3j79i0IIUZ5yaBinE4nXrx4gfb2drx79w7b29tGGQoATbP5BZY+D9RAoA2ZTA6np2ldtpdIZDA/v4VkMosnT/qbfmzAec6Lg5uJpsvQHBzEG0gMTEDTZtjtXbce5EZRVFEo/PPnT2xubmJsbAwu18UuBO1Gd3MaVlVVrK6GMDhYTg1XRSZzAIYxg6IayyOhkchms/j+/TsAGOUlA10ghKC7u/tCGerx48dwuxtRJ1g7TCYXJCkDUcxAj9LTw4cBLC3tYmKiv+JMOM9rVhyCIOHhw66GdSO+Lc0oDm6qgEZVVUQipxgb6633oaAg/tV7bIHZbMbExAROT0+xuLgIh8OBR48enTPlKu2ijkROYTZzFdRyVaTTEdjtlXZgtS6qqmJjYwN7e3sYGRmBz+er9yEZtBgsy2JsbAyJRAKLi4uw2+0YGxvTtQzdbFitfiQSO7oIhM1mDsGgBxsbUTx8GCjrtYqiYG/vGIeHCfT3++Dx2Fv6HulyWbGxEYEkyU0jbG6qklMymYPZzFZhEmm5X0oChrFWbQYTALjdbrx69QodHR14//49NjY2oCiFTqTrg5pcTkAoFMO9e5W1KcqyAJ4/rei1rYqqqlhYWEAmk8HMzIwRzBhUFafTiZcvX8LpdOLDhw8QxXKGS7YWmj7RD71KT36/G4IgIRZLlfT7qqri6CiBr183QQjB5OQA2tsdLR3MAGfi4IODeL0PpWSaKqAJh2NVEANrwUk5F4uWmems+he60A0xMzMDSZLw9u1bHB3F8pO5L9+3qqpYWQnh/v3OW6j5VeRyMcjy7TwgWgVFUfDff/8Vu9Pu8mrZoHYQQjAwMID+/n58+PABglDKcMnWhKbNut1vCSF48KALv35Fb2xNTqVyWFjYxvFxEo8f96Gnp+NOOX37/W5EIqdNo+lqmk+mIAZ2u28/OuAMUgxOKKrUrA+B2awpv1VVhaLIUBTxgpW4JGUhihmIYhqCkIQgJM7NWCofhmEwNDSEqakp7OzsYH5+BRTluTQQC4VisNvNcLlue55UpNPhO+9PI8syPn/+DKfTieHh4ZZflRk0HsFgEA8ePMCHDx+Qy1XunNvMEELAsjeVz0u/Nk0mFr29HVhfj1z6c1GUsLYWwvp6GPfu+TE0FKxCZaDx4TgGZjOLVKo5vndN8wkdHMR1n0pK01wx08JxTuRyMZSiUaFpTQTG86fI5Y5x8UL6/fhUACrMZg/M5j97+mVZyE/DpkAIASEUCKEvfZ8WiwVPnz7F8fEx5ucX4fF4cO9eDwThCJqgl0c0eoqJiYESz8D1KIqMbPYIVuvdLK9IkoR///0XnZ2dGBjQ55waGFRCZ2cnGIbBhw8f8Pz5c1itzSPU1AuOc+S7MH+/R5O8M7u/uIAsBa/XicPDBI6OEujocAIAFEVFKBRDJHKK3t4O3L9fPVlBs1AQBzscjd/80DQZmkjkVFdnYEIY2GyBYndSqfOMGOYs9akZPwGFoEX7o/z2p3Dx/XlRyLKIZHIXqVQYqdQ+ksldJBJbyGQOrty/ICThcJgwMzMDh8OBjx//w9GRAEXRupru3w/omBJVIQhJnJ7+QjK5h2z2CIKQygdhzZGCrBRRFPHx40d0d3cbwYxBQ9DR0YHx8XF8+vQJqVRp+o9WorCQvIiWMXc6+8AwFphMbSg1U1MoPW1tHUAUNU3N/PwvSJKMycmBBuqmrS9utw3JZLYpnIObIkOTTGZ1FQMTQsHh6AZFnWkhKIoFRbFQlKvq1NoXm+POgqrSVffk0rbubPYQZ4HQGZeVeVRVQSZzAFHUPBSs1k709fUhEAhgdXUVnz6tweWywunUO4rWju9sojcp/jtFcbDbu1quxZvneXz69AmDg4MIBMrrhDAwqCYejweTk5P4999/8ffff8PpdNb7kGpGoewkikkU/L+sVj9o+uz+Q9MsGMYCSSptzAHHMejqasPnzxtwu20YGemF2dxa97PbQgiB16uJgwOBxnYObooMjb7OwAQ2W+BSzQzHOfFn+ajQ0dQJl+seOE7Tpmj6mdJ1Mb+7XkpSFpJ0lWnRxQBHlnkkEjv5YEYLMDKZCCQpB5Zl0dPTA44zQZJkLC/vIperpnjwLADTgr+m+AqVTC6Xw4cPHzA0NGQEMwYNicvlwtOnT/Hff//h5OSk3odTU0wmJwihYbX6YLcHLwQzBczm0rI0kiRjYyOCg4M4bDYT2tsdRjBzBZ2dbkSjjd/52vAZGkmSkUhk8eBBly7bI4QCw1xuhMRxduRyRwC09CbHOcFx9j+yK4oiI5OJQlFKT8Gdv/BUVc2XlW42x+P5eF6n8/vvqkinQ7Bag5ifn8fffz8Fw/A4OAhjeXkPHo8dPT0dVZlbUoBlHReyXM1OJpPBp0+f8PjxY7S3t9f7cAwMrsThcOD58+f49OkTxsbG0NFxN0aWMIwFLtf1JWCGsYCimCsXnAU/s/39Y3R3t+PePT8kScG3b5twu63gOCOo+R2OY2AysUgmsw2tpWn45fXhYRw+n1O3WibLXt39Q1Garsbp7IfD0Z1fDVw8RZKURTK5nU9plqojUS+UZQQhCUW5rlylQlW1LqPLg5n8b6kKlpe/wu/3weVywWpth8fjwOTkAFiWxtevm4hGq9VyR/IrodYgmUzi48ePmJiYMIIZg6bAarVienoaS0tLiEaj9T6chkJrwPjzmRGPpzE/v4lsVsDExAA6O9vypSwa9+75sboabnl9YKUUxMGNTMMHNPqKgcm1AQ0AsKz10nKUqqrIZo+RSoUqaGW+qKERhDiuC4ZUVYUkZfIlqat/L5nMIhZLwu83Q1UVEELDbPaCEArBYDuePOlDMpnFt29bus/koGkTaLo1hujF43F8/vwZf//99523mjdoLsxmM168eIHV1VWEQqF6H07DwLIXM+u5nIDl5V3s7h7j0aMg7t37cySMx+MAxzGIRpvHSK6WFMTBsty44uCGLjklk1lwHKtjClC9cYCkVuKJQQtCgIKORlWVfHt1+dH7+eyMokglGdZls1dnZrTtKFhbC+PRoyAAGalUCHZ7EBxnhyDEIcs5sCyD+/e7kE7nsLERgcnEYmDAp8P5bJ3sTCwWw8LCAp49ewa7vdwxEQYG9YfjOExPT+PTp0+QJAm9vY0wGqa+EEJgMrmRTh9hd/cQsVgS/f1+eDzXX+P37vnx7dsW3G6boaf5DU0c7MTBQaIKBrf60NAZGn3FwFpW4aYhkoKQgKrKUFUJiiJBUUQoipDvaKosFXmx3JTCTYI1RRFuFBzv7h7D63XCajVB60Likcsd5y9k14V92GxmPH7ch/Z2BxYXd7Czc3RujEL5EELnTf2am8PDQywsLGBqasoIZgyaGpZlMTU1hf39fWxubtb7cOqOqqo4PEzh69dfYFkak5P3bgxmAIBhaAwOdmJ9PVyDo2w+OjvdiEQat+zUsAGNLGti4LY2/ZyBb3KaVFWlCnb/BBznKP6fZvp0kxhYufZ3tIs1jmDwfAudJiCWpFw+2Lj4ekIIOjqcmJzUBHVfv27i6ChRQb1YW/k0uz9DJBLBjx8/8OLFC2NatkFLwDAMnj9/jsPDQ6ytrdX7cOrG6ekp3r17h5OTEzx9+hjBYHtZ9yu32wZZVqrcLdqcFComeksY9KJhA5qDgwS8Xv3EwJp+5vqsgiSd91nRB5rmirodLdtz+yFzx8dJtLXZLzHQ04TEhBBQ1OX6Foqi0NvbgcePe3F8nMTi4jbS6fJsrU2m5va+2N/fx/r6Oqanp89NMTcwaH5omsbTp0+RSCSwvLx8pwSuuVwOX79+xfLyMsbHxzE+Pg6n04dK7umdnW6Ew43fplwPurraGjZL07ABTSRyorMz8NUP+QLldS6VtFdYrb5iUKaVm27PdaU4VVWQzR7d6HzMcSyGhoIYGPBjbS2MtbUwRPFmo0CO+7Pzq5nY3t7G9vY2pqamwHGtIWo2MDgPRVH466+/IIoiFhcXWz6okWUZa2tr+PDhAzo7O/HixYui4eCZm3t5eL1OHB9XksFufdrabIjHs5Dlxpvz15BPplQqW+x71wuGsd6Y7Sm48OoFy9pB01oGQFXVkspNN5HLCZBlJa+duQxtXIFmE37zysThsODJk364XFZ8+7aN/f3jKy5iLSBsZjHwxsYGIpEIpqamwLKG4M+gdSGEYHx8HDRN4+vXry35YFZVFeFwGLOzswCAmZkZdHV1FQcHZ7PHSKfDqKyRg4LbbcfxcVLno25+zsTBjdcN1pABjd5iYK3cdJN+pjzn31KwWM7MrnK52A3eM6URiZyWcG4IFEUuuVxHCIHP58Lk5ABEUcbXr5s4OTmfTaJgsXTA4egpYyp546CqKlZWVnBycoJnz56BplvHDNDA4CoIIRgdHYXdbsfnz59v1QjQaCQSCXz48AGRSATT09N48OBB8bpWFBmp1D54/hS3WUA2g+9KvdDEwY1Xkmu4gEaWFcTjGbS16dt1cplF9sX98tBXP0OKLrq53OmtLy5AezAfHWnaoutRoCg8GKY8QTVNU+jv92FkpBvh8Am+f9+BJLFwOvtgMjXnoDZVVbG8vIxMJoO///5bx8GdBgbNwcOHD+HxePDp06eG9hApBUEQsLCwgIWFBTx69AiTk5Mwmy86v2cy0fzcudvdb202kyEOvgKTiQXH0UilytNfVpuGu7sfHsbh9er/8LwpO6J3d1Ph+Hk+ca3bbzkcH6fgdttKeihLUjavoyn/PJrNHEZGetHf34Pl5W38+PEToqhv9qoWqKqKhYUFKIqCiYmJpgzIDAz0YHBwEF1dXfjw4UNTXsuKouDXr1949+4dPB4PXr16hba2yzPVl0/lrgxNANt4mYhGoBEzWA0X0ITDejoDF1BvFIfd5MpbPgSCkDw3Ufv2hMOxkktxsizkL+zK9k0IQTA4iJmZGdjtdszNzWFnZ6epavG/fv0CIQRjY2NGMGNw5+nr60NPTw8WFhbqfShlcXh4iNnZWQiCgJmZGXR3d197PWsDhPW53js6nBXaUfkUywAAIABJREFUW7Q+bW12xOOZhhIHN1RAk0rlwLK0rmLgAjcFNHpnaFRVKWkAZankciJkWYHNVs7qQymKksuDwGrtBCEUCCHo6+vD69evkUwmMTc3h1gsVsE2a0symcTe3h5GR0eNYMbAIE9vby9UVW2KMQnpdBofP37E1tYWnj17hkePHoFhbtbwURSn2zVP0xTcbhtiMX06VFuJgjj48LBxxMENFdDoLwYGCqMLrtPQVEMQrAUy+kX1kUj550aS+BtnV10Gy9r+8OxhWRajo6OYnJzE6uoqvnz5gmy2PHMlScohmdxHJnNY9jGVg6IomJ+fx5MnTwwBsIHBb4yPj2NlZQU8r7eJqD6IooilpSV8+fIFg4ODePbsGazW0p3JtWGT+mkwG7G00ig0mji4YQIaTQycLsme+nq0yJymOZhMHtjtQbhc9/LTV6/at96CYH0piIE7OsoxtFMhy7l8hqb090YIBYvFe+XP7XY7pqen0dPTg48fP2JlZeVaoaHWrp5CIrGDVGofspzNz5qqntBufX0dXq/XGDRpYHAJHMdheHgYCwsLDVVKUVUVOzs7mJubg91ux8zMDDo6Om5+4SVoAY0+93SbzQxJksHzzac9qjYmEwuGaRxxcMMENIeH2gP7NqlClrXBZuuCy3UPDkcvLBYPGMZ84zb1H3egL7GYJgam6fI+LknKXpgjdTMEFouv2J11HT6fD2/evAHDMHj79i329/cvvTmKYhqZTBSKIuB8xiqTOajKzTSRSCASieDhw4e6b9vAoFXo7OwETdPY39+v96EA0IbEzs3NIZFI4PXr1+jr67vVs+CmIcTl0tlpZGmuopGcgxsmoKmkpPI7siyBYSxlO9nqLwjWl0pLcbIsgBAG1783rSTHsjZYrf4bHYbPQ1EUBgcH8fLlSxwdHeH9+/c4Pb2YfryqfVKWed2NDAulpomJCaM928DgBh4/foy1tTXkcvVbXWezWXz58gWrq6uYmJjA2NiYLqaXhBAwjH7dTl6vIQ6+Co/HjtPTdEOIgxvCJS2dzoFhbi8GVhQBgpDIT5sunUbO0PC8CEmSbxADE1wdtMgghIGqFspCKiiKAUVxYBgzGMYGmr6diM5kMuHJkyeIx+P4/v07bDYbhoeHYTKZrjm3KrLZQ7CsTTcB3+rqKrq6uoq25wYGBldT0MXNz89jamqqpuJ5WZaxvr6OcDiM4eFh+P1+3ffBcY78fL7bByHnxcHt7Y6bX3CHKAw+PjxMVKFDuTwaYhmrnxhYRTZ7dKnnjKoq4Pk4BCH5279XQxCsH9pMq+vPjd0exJ8fpWbsRwgFq9UHq9UPh6MHLtcgnM5+2O0BmM0eMIxJtxuZy+XCy5cv4fP58M8//2B9fR2iePXqT/tM9ElVnpyc4OjoCPfv39dlewYGdwGfzweLxYKdnZ2a7E9VVezv7+Pt27dgGAZv3rypSjADIG8sql9GxSg7XU2jlJ3qHtDIsoLTUz3EwAXUfLu0hqJIyGaPEI9vIps9QiZzkI/aCz8X0KiCYFVVcXh4szMwTZvgcHSDkIL2hcBsboPD0QdCaLCsFRxnv3UmphQIIQgEApiZmYGiKPjvv3UcHyevSNWqyOVObj0SQpZlLCwsGOZ5BgYVMDo6is3NTWQymaru5/T0FO/fv8fR0RFevnyJwcHBqpaGKYrWVRxst5shioY4+DIK4uB0ur7i4LoHNIXuHT0fRJKURS53gnQ6jERi+9zYAe1POh2GqhbqfY37AIzFUnC5ShEDq6BpDg5HD8zmdjgcvTCbPVV5uMuyiFRqP687uhqapvHgwQOMjfXj8DCOxcUdpNOXlZ+0rNpt+PnzJ7q7u2G36zsuw8DgLsAwDMbGxjA/P18VjQjP85ifn8fS0hLGxsbw5MkTmEyV+GOVj9Xqz2tp9LkXdnU1VptyI9EI7e11D2jC4ZOqOAPncrG86PTPC1RVZaTTEaiqmu8CakyhV7mlOIpiYDa33Ti3qlIEIYlkcgeSlEUqFbqQ6boMQgjsdicePepGf78Xq6shrK+HIYoX27xFMV2xjikWi+H09BT37t2r6PUGBgZAR0cHnE4ntra2dNumoihYX1/HP//8A5/Ph5cvX8LlKk/feFsIIbDZAnnX9NsHNV6vC4eHcUMcfAmNIA6ua0CTTudA0xTMZq4KW7/+CydJWUhSFoSQc6WaxoHnRYiiDLv9JqU+qfrFpaoq0unob87Haj5Tc30gUkj5Op1WTEz0w+Gw4Nu3TYRCsXPHrQWg5SJJklFqMjDQieHhYWxvbyOVup0rrqqqiEQiePv2LRRFwczMDAKBQN2uUW1h1XXOk6vwp3xomoLLZcXJieEc/DsFcfDRUaJux1DXgKY6zsClU/BbKc+rpTZEIuXMtKpuQMPzcYhi6pL9qEil9q7Nrmh+ENrrCCHw+92YnBwAz4v4+nWzeGMQxUzZ4uzl5WX09/fDZivfDdnAwOAiNE1jfHz8VqWnZDKJDx8+IBQKYWpqCg8fPmwIt25CKNjtgXwJyorb3DO7ujx1L600Kp2d7rqem7oFNIqiiYHr1wKngqK0zFBl846qhyYGjsPnuyk9S377uzoIQgJX3wDUvAPw5c6/Wov4RXcAmqYxMODH8HA3QqETLC3tIJvlkcuVfiEcHh4inU6jr6+v5NcYGBhcj8fjgcfjwcbGRlmvEwQBi4uLmJ+fx9DQEP766y9YLPqa2+mBKGYgSbcTP9vtZgiCZIiDL8Fs5kDTFDKZ+lih1C2gSad5OByWuqUhKYot7pumOTSSOPjkJA2Xy3qFGFg7ToaxwGLpgNPZX5Kzb6UoipTvBLsaVVXymZrLL3CtffJPLBYOo6M9CAbb8ePHHn7+XIMg3HwhFGa9GKUmAwP9GRoawv7+PpLJ5I2/qygKNjc38e7dO7jdbrx+/Roez9VjZuqFLAtIJncgiknokdHu7GwzxMFX4PE4EI/ra5paKnULaDIZHlZr/TIj562xtZJT4zwYw+HYJaW4Mzdfl+se7PYgTCbXrYMZnk9AFDNXppgFIYVSzk0hqLmsbHRTwOh22zA5OQCzmcPs7Fvs7Oxcm/JeWlrC4OBgQ64ADQyaHZqmMTExgfn5eSjK1QLPw8NDzM7OIpfLYWZmBj09PQ25wOD5OJLJ3bw9hD7leZ9PM5IzxMF/YrOZruhorT51cwpOp3m4XKVPUNUXcqHMpD1wG+OLyfMiBEGC3f7nw9pi8f5RvrkNmkfPAQrBBstaYTa358+HRjkrGlWVkUzuweHouXCcV3WbnUfzr2mDz+dCOBzH9vY2RkdH/1jtRaNRCIKA7u7uko7JwMCgfFwuF3w+H9bW1jA0NHThZ+l0GktLSwCAp0+fNryG7SaLiUqgaRpOpwUnJ3p6qLUGVqvp7pWcMhkeNltjaFe0VUVjBDTR6OkVzsAF/xz9jlNzTS68dxWimM4HOBqKIpXdTq2qMlKpvQvHWc42GIbGw4e9mJiYwMrKCr58+YJsNps/XgHLy8sYHx9vyJWggUEr8eDBAxwcHCAejwPQSr3Ly8v4/PkzBgYG8Pz584YPZgDAZuuEzdaVn2un332jEXxXGhGWpf+w5qgVdQtoeF689eymylHPGeshr/2o/wNSVVUcHCTg813uDCzLQkXtzVdxmdhXkvjiudEyK+WfF0WR89vWMJncZWxHC6wcDgdevHiB7u5ufPz4ESsrK1hYWMDQ0BDMZv2GzhnUBiM133xQFIUnT55gfn4eW1tbmJubg9VqxZs3b+D1eut9eGXBslY4HN3Qc+HqcFggCCIEwRAHn4cQApqmIEm1D2rqUnJSFCXv/1K/IOJ8QNMos5xOTtJwOi3XtDmq4PlTsKz1ggaoEmRZuHLkgCRlwbK2G7qbrkPzleE4zQHaZHLnzfNKscUmMJvbi//n9/vh9XoxPz+PaDSKQCAAVVWNDE0DIYoicrkcstnsH3/zPF/8vJLJJP73v/+B4zhYLBZYLBaYzeYLf7Msa3y2DYQkSeB5Htvb23j16hU4rhqeYVejqgpEMQNR1ManmEwuMIy1ou+I1olJAdDP+K2zU3MO7u1trgCv2hTKTk5nbWUldQloMhkBVmttL4wzCCiKhcl0lgXRvuj1X0GGwyfo7e244be00pPT2XcrQ8CrgzgVgpACTZtvNYVcVRUIQhImkzPv1tmFZHL7QiB5GSxrB8NcLEWKooh4PI43b95gY2MDm5ubGBsbq7nr6F0nnU4jHA4jmUwim81CELTuN4ZhikGJ2WyGw+GAz+cr/n/h4fO///0P//d//wdBEIoBTzabRSwWK/63KGrfS5ZlYTabYbPZ0NnZCZfLZQQ6NSSbzWJ5eRmCIGB6ehoLCwtIp9M1CWgURYYopiAIyfwi6EwSoOlhCDjOAZPJdUHvdxPa/UxfF1uv14X5+S309HQY389z3LGApl4dTgQmkwtmc3vxy6eqalVEY+VS8DVwOK7LvBTazE1QVeA218913juSlIYoFqzCKw/0zgdNFEXDZgucm6N1+XYtlosBnaqq+PbtG4aHh+FwODAxMYHT01N8//4dNpsNw8PDNZsLcxfJZDIIhUIIhUJgWRaBQAADAwOwWCzguPKHnWoZOxNMJtOVAal2TUrIZrNIpVJYX19HKpWCz+dDMBiE06nv7DeDM2RZxvr6OsLhMB49egS/3w9CCCYmJvD582fMzMxU1ShPa6/ezf+f+tvfhf9WIQhxCEICLGuDxdJRUrPEbRZoV8Ewmjj49DSNtjZDHFzAZjMhFqu9m3JdApqCB03tIKAoBlar749SDc+fVuWLXsoxASpY1gFCCPb2dhEIeEFRLFRVzmsOVBSCGIpiwHEucJxDF98Z7QZwecCiqmre5K7SYEab9m0yXRQ3M4wZTmc/eD6OXO64sLcLr/v9ve3v74NlWXR2dhb/ze124+XLlwiFQnj//j16e3sxMDBQ1cm9d4lsNov9/X2Ew2HQNI1gMIjp6emalRsIIWBZFizLwul0IhAIQJIkHBwcYHV1Fel0Gn6/H8FgEA6HwwhudEBVVYTDYaysrKCnpwdv3ry5cD3Z7Xb09vbix48fGBsbq9IxKEilQij9vqNCFFMQxXTxfnPdd6Fa9/murjbs7h4ZAc05rFYT9vaOb/5Fnalbhkb/gZS/Q0AIBY5zgOOcl6YmRTGTF9nWo9yk5o8hBavVj8PDBF6/fg2WPRNKq6oKVdWEVXq2axdgGNMV2SkVqnq5vuZmCKxWPzju8oubEAKz2Q2TyYlcLgaej+Ps/F+8GSmKgrW1Nbx+/frS7QSDQXR2dmJ9fR1v377F8PAw/H5/hcd9t8lmswiFQgiHw8Vz+/z584bJfjEMg0AgUAxuotEofv78iUwmg87OzmJwY1A+8Xi8mPF8+fLllZ/5wMAA5ubmkMlkYLXqW0rQ5sWFK7zvaAswno/DYvGCZW2XBjZXaQZvi8NhQS6n2W1wXN2cUBoKjmMgCNU539dRl7Ofywkwm6vR4VTwU3HAZHKCpk1XRuyKIiKdDqP+2hkV+/sbcDhMkKQkVJUBIUxxZEA1ApkCNG3RtdxGCAO7PVBSXZsQChZLB0wmN7LZ47zfzcX6djQahdfrvRDk/Q5N0xgaGkJvby+Wl5exubmJ0dFR4+FWArlcrlhO0nyAAnj69GnDd5ExDINgMIhgMAhJkhCJRPDjxw9ks1l0dnYiEAgYn38J8DyPnz9/IpVKYXR0FG739YtMQggGBgawvb2N4eFhXY8ll4tBkkppGrgKbfGXyURB0xysVl9NR9qciYNv0kDeDQghoCgCWVaucLyvDjUPaLQOJ1QtTexw9Nz4QC0/tVldwuEYeno6wPMxnE2CPSs5EUKfC3BYMIwZLHt7/weGMYPn9VD9a0aFdntX2UJlimJgs/khy21/CIYL5nqlYLFY8PfffyMWi2F+fh5tbW0YGhq6Nhi6q8iyjNXVVRwcHKCnp6cpgpirYBgG3d3d6O7uhiiKiEQiWFxchNlsxsjISNO+r2pSGFews7ODhw8fluXr1NXVVTTb06vEq6oKeP4U+tyPVcgyj2RyDyxrzy9szcWfVQufz4Vv37bQ09NulEDzFITBtZSX1DygyWYFWCzVi5wJuf4i01Kb0aqlH8tFECTkciLs9vMX3UURnKpKkGUJcr6tn+cBp3Pg1loarZvoNsGMFnj9LrSuhN+D0EwmA1mWy15pezwevH79Gru7u5ibm8PAwAD6+vqMm0yeSCSCnz9/oqenBzMzMy2lO2JZFj09Peju7kYkEsE///yDvr4+9Pf3t9T7vA3RaBQ/fvxAV1cX3rx5U7bAl6ZpeL1eRKNRdHV16XJMmt+V3qgQxSREUROmVjtbwzA07HazIQ4+x50IaKrb4aTeGNAIQjI/bbUxsjOaM7C7zAcuBVnOgaJul6UhhAYhdFGnU8IroE0pZ/NeODYwjPnGc14JOzs76O3trei1hBD09vYWV5Ozs7MYGRlBR8fdTQen02ksLi6CZVlMT0+3dOaCEIKuri54vV6sra1hbm4OY2NjDTk0sVYkk0ksLS2BZVlMTU3dag5aX18flpaWdAtoLuro9EbbbmkeWLejq8uDvT1DHFzAajUhHr/dZPNyqXlAk07zsNmqeTO9OjDQuneO0SjBjOYMHMeTJ/1lvlKBJOV0KTvRtBmSdP0KiRAaLGsDw2iGftWc7g1oKfFwOIw3b97cajssy2JkZATpdBrfv38v6mv0FjQ2MrIsY21tDdFoFKOjo3cqqGMYBsPDw+jp6blQhmoUoXMtEEURKysrODk5uXQ2WiU4HA7IsqyLOLiS8SqNisNhNsTB57DZTDUfDVHzPGw1ZzhpGYerAxpBSNxo7FZLTk8zsNvNYJhyAwT9yic3Z2cI7PZuWK0+cJy96sEMABwcHKCjo0M3vwubzYapqSn09/fj33//xY8fPyBJjVFyrCaRSASzs7NgWRYzMzN3Kpg5j91ux/T0NPx+P96/f4/Nzc2WH8WgqmpxXIHT6cTr1691zVD19vZiZ2fn1ts5PyKl2SGEoLPTjWj0tN6H0hCYTCx4vrYu/DUPaLJZAWaz/n4WhFCw24NX/lzLztSrRftywuEYurouG0R5HQQsa4fZrM/N6fqxDyTvxlk9Ya029yl5IdDc2tpCX1+f7vvyer2YmZmB2WzG7Owsdnd3W/LBlk6n8fHjR+zv72N6ehqDg4N3XkNS6OKamZlBNpvF7OwsYjH95qI1EkdHR5idnUU6ncbr16/R29uru4YsEAggHA5DUSpfIKqqCp6vdLxKY+LzuXBwEG/J+0q5FMYbyXLtkgg1zYsVPmSK0vfiIoSGw9ENirr6wdto2RlJkpHLCWUKpgqW3x6IYhKCkCoq+SvhvM/NpXsjRLfA6ff9ynIOudxJsW2cYSyw2bqQy+UgSRKczsre001QFIWBgQEEg0GsrKwUO6na2soNLBuPgstrJBK5c+WlUmEYBiMjI0gmk1hcXITFYmmZMlQmk8HS0hIURcHff/9d1UnYNE2jo6MDBwcHF0wvy0GW+TL0e81BQRycSGTgcjX+JPJqY7VyyGaFc00v1aWmAY3W4aRvdoYQJh/MXP1Waq+d+b31+k9SqRwcjtKHrBHCgqY5SFIOgrBV3L4kZUHTbEXDKjUTq6vHG6iqgnh8s6RtaZ4yN89WkqTcpeMPJCmLXC6G7e3DqmRnfofjODx+/BiJRAJLS0swmUxN3eabzWbx6dMnBIPBluteqgaFae7hcBjv37/HxMRE0wa1kiRhbW0NBwcHGBkZqdkk7L6+Pvz48eMWAY2g8xE1Bi6XFclkzghocNbp1JIBjd4dThTFwm7vvlHXwfPVTgFqAy9tts7i6AJFkfJ/xHN/JKiqAlVVzmmJSHEbl80uIYTJv0aCJJ0vD539riCkKgpoZLmU+mZp5y2bPSp2P127tfz7/3O7mttnKLSP//u//1fSPvXA6XRienoa0WgUHz58QCAQwODgYFXn1ehNOp3Gv//+i8ePH6O9vf3mFxgAOCtDud1ufPr0CWNjY02V1VJVFXt7e1hfX0d/f3/NA1mn0wlRFJHNZivqmmJZK7LZ1ivNWK0mRCKGjgYArFYzkskMgNoMEq5pQJNO6xXQENA0C7s9eKuJ0/pAYDK5YTZ7itmWgtPvdezspNHZ6YfD4cnPblKKfyuKnJ9WfVqCFTip2GPhev1MuWjW5TcZGzKMGVcFSbFYEm63vebBhCbm64TX68Xm5iZmZ2fx8OFDdHV1Nbx/TTKZxOfPnzE5OXmj06vB5VitVkxPT+Pjx4/FgYyNzsnJCZaWluB0OvHq1auazdn6nYI4eGhoqOzXakahHBSltTI1VqsJ6XRrdG7dFpvNhGi0dp1ONc1L69XhRNMc7PbukoMZs9mdf9Cez4gAhXlPf/57KZC81X8QFkv5pnKpVAoulztfLjKDZa15fYwLFosHVmtHye+xlFEDl6GlfPVcIalIpULXapW083358YbDJ+ju1tLXhQGZtWzppGka9+/fL2Zs/vnnHyQSjduFcXp6is+fP+Pvv/82gplbYjab8eLFC6yuriIUCtX7cK4kl8vhv//+w8+fPzE+Po7x8fG6BTMAEAwGEQqFKs6Ac5wTenZtNgIMQ0OWZUMYDMBsZpHL1a7TqSk1NDRdvplbIQgSxRRyuRMwjAUc5wBNmyAIcWSzR2VsTRPnWiwdFZvK8Tx/441Im07di3T64BozQLXigKY6KyMFqqriuviOYWx/1M95XoQkyUUxcEFTk8vFYDK5YbHUrpRiNpsxOTmJ09NTLC4uwm6349GjRw0lHI3FYlhYWMDz58+rKv68S3Ach+npaXz69AmSJFVs7FgNZFnGxsYGQqFQMYvUCNlDmqbR3t6Og4ODijJbHGdHLlfOvbc54DgGoiiB4+726BWt00nzFqtFObRmGRqto0bV5U1VOraAEC0QcTp7YbV68y63BIpSjtKewGbrgtXqqziYEUURLMuWdEMihIbN1gmLpQN/rmRIRcFdgdI0NIX9mMAwFtC0KV9OI7/9KbTO99yoabpMZxOJnKCzs6342rPZLip4/vSWg+sqw+124+XLl+jo6MD79++xsbFxqzZVvTg8PMTCwgKmpqaMYEZnCk66oVAIv379qvfhQFVVhMNhzM7OghCCmZkZdHZ2NkQwU6C/vx9bW1sVvZaimIoXZI2MUXY6w2IxIZutTVmxZhmaXE7UbcK23q1+pW6vUGK6rS9LMpksa0YRIZofDMNYkE6HoCgSCKFgNneA4yqfKkwIBVW9usvpDBUUxcFmO1uBFVq+ZVmAogiQZREmk7ukc0PTZrCsPT/DRQt0Dw+TmJp6ApZ1QFHk36aAq0inI3A6az+TiRCCYDAIv9+P9fV1vH37FiMjI/D5fDU9jgLhcBhra2t48eJFQ2WMWgmGYfDs2TN8+fIFkiTh4cOHdTmORCKB79+/w2KxNPS4CqfTCUEQbiEOdkKWG8fBXQ9sNq27xxiDcNbpVN0JARo1y9Do2eGkd0Bzc4ZGy4RoOpzbB2XJZBJ2e/lfdJrm4HD0wm7vhtPZD5PJeasHvMPRnQ+Ibt6GKKYu1IS18fAMWNYKk8kNq9Vb8rkhhMBq9cNi8QIgiMXS8Hg8cDg68xmzP6N5VZXB87W10T4PwzB49OgRpqamsLOzg48fPyKVStX0GPb29rCxsYHp6WkjmKkyNE3j6dOnSKVSWF5erqkeQhAEfPv2DQsLCxgZGcHk5GTDBjMFbuMczHGOc1nf1sBqNSOTMTI0gBbc1SpbZQQ0N25Pc+a124O62f6Xm6G5cDSE0m0gJCEUrFYfbLauvPj46hvKTV1b5e+bwGRywunsx+FhFoODZ6tgmr785q3H7KrbYrFY8PTpU9y/fx///fcflpaWIIrVF71tbW1hZ2cH09PTdRWB3iUoisLk5CQkScLi4mLVgxpFUbCxsYF3796ho6MDr169ahqx923EwRRFw+HohdXqR6sENVYrZ5Sc8hQyNLWgZgGNNpRSr4BG3xuL5uFypgU5Q3PK1fQy+l1otwloqgHLWuF09oFlC1mj388FyQug9b/Z8LwAUZTgcp35FBBCzgUvhexYb8Xt6dWgvb0dMzMzsNvtmJubw/b2dtUeeBsbG4hGo5iamgLDGEPvagkhBI8fPwbDMPj69WvVPuODgwO8ffsWoihiZmYGwWCwoXQyN8EwDDweDw4ODsp+rSwLyGQOkMlEq3Bk9YFlGUhSa7kgV4rFwrWehiaT4WGx6PVAUvOdNPpc8BZLO8xmD2Q5B1FMQxTTUBQJVqsfHKd/DTSXy11IIYtiBoKQBMNYwDBmUFRpgmE9IYSCzeaHqvqgKCJkmYck5SDLOQAEDFOdCdU7OzuXdpOYTG6IYrpqn4EeEELQ19eHQCCA1dVVzM7OYnR0VFdzu+PjY0QiEbx48cJw/60ThBCMjIxgcXERm5ubuHfvnm7bTqVSWFpaAk3TeP78eVNPgu/v78fKykpZ3U6ZzCEEIV7Fo6ofLKt1OrHs3V6EFJ5lej6zr6ImZ7rQ4UTT+tyQq/HAJ4TkAwoLLJaOqp18SZLAMAwIIXnH4EOIYgqAmv9bOxaHo1f3Mk8pEEJA0xxomruV4LgUVFVFKBTCzMzMHz9jGDPc7sGq7l8vWJbF6Oho8eG0ubmJkZGRWz+cCqWO58+fG8FMAzAyMoK5uTn4fL6KNHDnEUURq6urOD4+1j0Irhculws8z/+xYLuOVpq2/TuFTie3+24HNMBZlkbPSQGXUZO7JM9LMJn068evxOa/XKoVSRYEwaKYQSKxVQxmNM5mP9XfAbn6HB4ewuPxtEwZxW63Y2pqCr29vfj06RN+/vwJSarMYgAAlpaWMDAw0NSr9laCpmmMj49jfn6+4tKTqqrY3t7G3Nwc7HY7ZmZmWiKYKVC+OLh5ymrlUuh0MqidjqYmAY2+M5zIrQMaLTNykG8bri3JZAImEy4d0KhBYDK1NVUCddpUAAAgAElEQVT9vFK2trbQ399f78PQHZ/Phzdv3oDjOMzOzmJvb6/sB+DBwQGy2WxDmbsZAG1tbWhvb8f6+nrZrz0+Psbs7CxSqRRev36Nvr7a2xBUm2AwiP39/Su/74oiQZLOP9hap1X7d2ophm10atXpVKOAJqdrquk24lBZFpFM7kIQEkinoxWb9FWCIKRwdLQPLRt79YWs2YG3NrlcDjzPXxADtxIUReHevXt49eoVYrEY3r17h9PT0gbWiaKIpaUlPHnypOUeeK3A0NAQwuFwyWMxMpkMPn/+jPX1dfz1118YHR0Fy7amg2xBHHx4eHjpzzOZA6RSu8hmj1p+NIBhrndGS2Vo9OxwAtS8IVz5F4MgpJFM7pwbyqggnY7UoB1TRjodRiYTvTG4Y1nbhfZwRRHB83Gk05G6uOVWi6vEwK0Gx3HFmTvLy8v4+vUrcrnrP8fv37/jwYMHFZmUGVQfiqLw5MkTzM/PX+scLUkSfv78iU+fPqG3txdTU1O31t40A319fZc6B8uyUDTM5Pk4ksldtHKGRht/YHQ6AbXrdKqJeCGTEWC16uWdQZBIbEO7ELThkoTQoCgaLOuAyfRndkMbdBg7Z6d/hizz4PlTmM1tOh3fxf2KYhrZ7EFxYCPPi9foiTRHYFFMQxDSkKT0uUGP2rbs9mB+YnXzoqoq9vf3LxUDtypOpxMvXrxAJBLBhw8fEAwGce/evT8mi0ciEYiiiGAwWKcjNSgFl8uFzs5OrK2t/TFpuvD9XltbQ19fH968eXOnRN1utxu5XO4PcXAuF8N5vWCrTdm+DIahIEkyGKb1NZHXQVFUsTmomlnnql9lqqpCUZQ/bty32CLOXxSqKkNRtMg/mz38I9uiqgrS6dClwUxhG7lcDIKQ1On4tDpxLhdDIrGNTCZaDEpkWckP67rqA1WRSu0jnY5AFBN5w7+L7zeV2q/KBGpJykEQUpBlseoZq4IPT6uIgUuFEIKurq5iIDc7O4tI5CxDKAgCfvz4YZSamoT79+/j4ODgQinx9PQU7969w/HxMV6+fIl79+7dqWCmQCAQuOBJI8tiXTSL9cYoO51Ri8nbVX+iCIIEjqvdg0uSMhccZUUxnS/VXPeQVpHJHECSsrBYvBU/TEQxg1wuVvRu+X2f2Wyp4ujrjzWZ3IfDEdTVaC6XO75Q0qJpLj+M0gyGMYEQRreHbDKZLE7VBrRUtKrKNeleawRomsaDBw/Q09OD5eVlbG5uYnR0FKurqxgaGjLGGjQJFEVhYmIC//33H549e4aVlRVks1mMj49f+H63KtqKW4GiiFAUCaoqg2XtoCgaTqfzgo7mYnbm7lDodHK5jE7Fgo7GYqme03nVIw19O5xuQgXPxy8ENKU/9FUIQhKSlIPdHijbA0ZVtQGKwFmJ6HfSab3OhZIParp1m1SrZQnOjlmW+Xwm6CyIsVi8l5b0yiWZTF4QA2ezR5CkTL6cZikeT2FFxzAW3cZONBJmsxl//fUXTk5O8O+//0JVVYyPj9f7sAzKwGq1wmQy4e3bt3jy5EnDTcKuFooiIZncyWefKRQyybncCZzOPjgcjgvTylnW9ptFxd3AajUhFqvtzLdGxWYzI53m0d5ePX+zqudCaxvQaBma8yUTiiqnm0Cr6yYSO2ULcDWDqOsvVm3iqF7nQgHPl29Kpa2krhYy/sl5bxx9vi7nRz+oqlIUCqZSobxDcRbJ5E5eRB1FIrGJeHwT6XSkpl1ptcJisYCiKNy/fx/v3r3Dr1+/rhWbGtQfVVURiUQwOzuLtrY22O12mEymOxHMFBZvZ/eRM/sJbYjsKcxmM7LZbPE1HGeHw9F9J/y1zmOUnM6oRadT1QMafTucbkIbJPn7TaX8i6i8VYQmOj658XV6BneEMGULmQUhhURiC/H4LyQSW0inI+D5eD54u/kByrL6pE3T6XTRLE4UM+d+oiKZ3EMqFcp3op0FU6oqt+wKb3l5GcPDw+jv78fMzAx4nsfs7OyVra8G9SWRSODDhw8IhUKYnp7G0NAQJicnazLAshHg+dNrdHyaJlFVZdA0fcFYkqZNcDp7z83Oa304joEgtN4irBIsFq7qAU1LlZwoioHV6rvwb7nccZnTuQns9kCZnUQqVPXmL20uJ8Jsvr3/BCEUHI7ypn/LMn9h+JuiSFCU1Dmh3vU3Yr1WnoXMQ0Eo+Wdm66rj0AZklpdxa3x4nkcymSzOv2EYBsPDw+jr68PS0hJ+/fqFsbEx2Gz1nzR+1xEEAT9//kQikcDo6Cja2s4WFDabDU6nE8fHx+jo6KjjUVYXSeJL0MOoyGaPYLfbkUqlLkwMJ4SGzRa4suu01dBGyRidTgBA09XvdKp6hkaWlRp9kAQ2W+BCWUQQkuD5OEq/aMgFHUfJeyYUTCY3rlt1KMpNHU6lY7cHy3qwK4qMVGofV3V5lXJ+Cq3vtyWdThe9ODTNUuaGV2jQtKklDQd3d3fR29v7x/fCarXi2bNnGBwcxJcvX7C0tARRrG6HgMHlKIqCzc1NvHv3Dm1tbXj16tWFYKZAX18ftre363CEtUHrGA2jlPuFKKZhs1mQTP7ZPUoIgcXSDqu1M589J2jljI3VyiGTaf0W9VIwmVjwfPXuY1UNaARBqlkwY7X6QdNnD3ktI3GA8oOZyjxezGYPrrsos1lBN3V3ud1Nmm7mtish9Vx5qnK0WVY2pFLh/OdzM9ok8NYTW6qqir29PXR3d1/5Ox0dHZiZmYHNZsPc3By2t7fvRFmjUTg8PMTs7CxyuRxmZmbQ09Nz5fewra0NqVQKgtCaD69M5rCMbLcKlhUvDWgKcJwNLtcAHI5eWCwdYBgrzoKb1rnWjZlOZ1RbR1PVktPtRbDnv9RXlyJMJhc47syBU8tIhK55zW9bIBTs9tu1QRNCwWz2IJc7vnS/+nU4aSulcgS6+vlgqMhkInA4Kp9Bc3p6DJaVIEmleVJon013XSaPV5vj42O4XK4bbfAJIejv70cwGMTKygrm5uYwOjoKj8dToyO9e6TTaXz//h0UReHZs2clDQglhKCnpwe7u7sYHGyOSfGlIgipsjVsFguLaPTmrC5Ns6BpF0wmV963TMpnsykABJKUyXeQNmcgb7WacXpqdDoBZyJpj6c6nU5VzdDoo59RQVFMPmhxgWGsoCi2+ECnaRPM5ovTanO5kxJXEgSEMHA4eorBTKHGVwkmk+tKAXKpwV3hIr7mN8ru9NGOSZ+bgaLI+dp3+QhCCvH4MazW0splZ59N9XwL6sn29jb6+vpK/n2WZTE2NoaJiQmsrq7iy5cvFzpJDG6PKIpYXl7Gly9fMDg4WHIwU6AQ0LRaFo3nb256+B2zmUEmk4KilK5h1DQnLCiKybvAk6bXzRmdTmdUO1tV1WVvOs3D672N7kG7gLR5RgkwjBkmUxsYxgJCSPGm8Xu2wGxugyzn8kr8yy5Ckg+S3OA4RzE44vkEstmD/DaZ/IXFgaY5UBSb/3O1wRwhBFar99LVRCbDw+e7bhAjAU1zsNkCUFVt9pMWuPx5/IoilfWQ16vd+mx75ZcRVVVFNnuIbLY0YyWKYvOZmdYU0gmCgFQqdakW4yYcDgemp6cRjUbx8eNHdHV14f79+zq6cd89VFXF7u4uNjY2MDAwgJmZmYqykCzLwul0IhaLob29/eYXNAmyXL7uoaAZTKcP4HB0VbxvLTvbvAGiycSA541OJ6CgJ2rSgEZf3xUVkpSFJOVACAWLxXuhzHQeiqJhtweRyx3/JgomYBgLzOY20LS5eMPSHrZH+Y6b/N5UKd9ymMVZTVcT0Gqzo5hisGMyOYsPeYaxgqZN59oatX1fr6Eh4DjHOZdiGg5HDzKZw0vTvOV1beX3QOiKXncZV5336xCEBBRFhqreVAIjoGkT7PaA7oFYI7G7u3utHqMU/H4/vF4vNjc38fbtWzx8+BCBQKDltEbVJhaLYWlpCW1tbXj9+vWtJ2H39/djc3OzpQIai6Ud2ewRyg0sLBYO8XgMVqun4pK+dh+g/j97X/7WRNJ9f6r37IR9RxBFREedGUdHZf73j6jvzHfeWd4ZEXcQZCcJZOu96/tDdYcA2ZPOgpzn4XEh6a50uqtu3XvuOahFWqIbwbJMBLbtgOcv75xWC3ieh2371+nka0BjmjZEsdWnoK4mSa7iwsqY9IPgeRmqegRJikCWYxfSl54TdvlsDnC+E4hSG7Ztw7Z1mCaBrqcQCAxDkpgGTjg8AccxYduG+5o8WHmrmOx2GmSVUuBlRNgR6HrQzRpRNwUrNMQnCYXGYRhpmGbWFcRqbMfDJqX6bkTWIZWAphlQFKnE+0+DRBZwDlzqRdnLBjx9+rTpY3Ech+vXr2NychJv377FxsYGlpaWzrTKXqE0VFXFmzdvYJom7t+/XxB7bBbxeBz//vsvDMOAJF2OcqlXTjeMtOufZxd5zXnP6ummzwMrMWjI5fYRiTQewMtytM6O1e6CR4aNRL4Ne5dKkGWmzVPepLlx+BbQmKYFQfArGiU1dyNJUgSSVHqism0d2exOk5kLFm3m8/swjDSCwRFwHA+el9yyUBiWJSEW60csNlcIcixLh+MYLru//GeR5QgkKYTTgKgxCIIMQRgCMATbNlxH74zreHvRd6ocbFuDpiUQCNSutcFKccNIpw8Qi/UjFBoB+zy8W8LjL3UAcx7JZBLRaLTpTEAxZFnGvXv3cHJygtevXyMUCmFxcfHKF6oEbNvGx48fsbu7i8XFxYIGUKtwWcnBkhSGKIbO+DfxvARCuDNBDtO4skCphXBYRSaTA6Xsd4Q0tuR4m9P6Ole7Bx535CqgOQ3ueiqgyecNHxWCmyOKOY4JVU22WHmWwrLySKc33HJYpLBIe1L/hHAQBMXlAp17N3XgODY4jr9Qamm29HI+vecFW4oSh+PYsKw8TDPnmkR61ghnAwxmVhl0x1//QymKYajqDvr6BiCK9ZesLhM2NjYwOzvry7FjsRiePHmC3d1d/Oc//8Hk5OQ36/h8HpRS7Ozs4MOHD5iamsIvv/zi23WZnJzEq1evMDc315PBOtt4GW6m2YTjGIUg5Xz3aTR6DTwvoxSFa3g4gkRiDbFY8/e7JEXA83LRJrR3AptgUEY6XZvm1mWHR5KOx1u/DvgY0Gg+KgRT5HI74DgJohiEIARconDlyclxLKhqwmcJfUZ+NYwMQqERcJyATCaDYFCBaeZBqQXbts5MEKwLwEvdsj9ZYCOA40SIYgiiGGpoYtS0FDQtAVEMuYTqs9kgjuMvZLFYp5flkpIZp6UVk3Imk8Hw8HAheGOTEjnT0XDZ0QwZuFYQQjA+Po6RkRF8+vQJz58/9yUT0UvwMlfhcBg///yz75krSZJ6khzsODZU9bCKgvjZ/9P147IZ22AwiFyuNomGWsDzEqLRaeTz+24pvzeCmmBQxu5uqtPD6AqEQjL29hrrlK0G3wIa5qrpl7Kr1/1kQNeNQm2V40QIQtANcpQCUbc9gczZ8dm2inT6C4LBEaRS+wiHB5DLWYXfl3uf9ycLJizYtgbTzBZ0boq7sqpB05KuxxRT7jTNPDhOhCzHC3yfUmDdCWLJLJhXMmPt87V11VDKslcnJ0k4TgQnJ0c4T7Rm5+UhCEG3JHU54QnptSN443keN2/exNTUFN68eVOwUWgVV6QXoOs61tbWkMvlcOfOnTMu737DUw7uhYCGUiacWU5HqxJ0/QSK0l9yXvIyYI7jtCwbRgiHYHAUhpFuiKjcCSiKvwq5vQQ/xfV8zNDomJ5uV/3+tL3bME4K/kBeJxJzc+7MTW/bBvJ5FYGA2MQYGBFaVY+gqgkoShyy3FdxUVTVRAmvFOYmrqoHMM0MwuHx2kdAKXT9uMj+gILnFUhSFKIYKhvc2LaBXG4ftq2D0uJJ7aLlAquzX+72xu3tbTx69Kit5wwEAvjhhx+QTCbx999/o6+vDwsLC5eGsFoKjuPg8+fP2NrawsLCAsbGxtqeAezv78c///zT0sXcD1iWhnx+v6xMRC1gDtulhR7D4TByuVxLA2lCCCQpDF1P1a3L1Ql4Lezdfi+0A4LAw7JsXzqdfLuyhmFDFDuli+EFOJbrFdS5CF4QAjW0KtcKCsApMnYrDdPMVTF+Yy3whlGbeqVtm8hmvxaZ0lH3/zWo6iEymc2y72XkQR26btRAAiOX0q/JA6UUtm13LJDo7+/Hs2fP0NfXh5cvX2J9ff3SCcABwP7+Pp4/fw7btvHLL790rJWdEIJIJIJstjtVYlmH5x6y2e0id/tGQCvOJZFIpKIFQkNnpA6y2Z2eCGY8MLfpy2mLUS8kSYBptkZGpBi+ZGgsywbPfxuciPIgkOU+ZLNpt1W5lWBGkRwnlmxdN4wMqk9OjOsjisGKJSzHsd2ApXxwdL6NnJEITZeH44DjRORymZo4VczP5XIin88jEOhsl4PXgTM2Nob379/j+fPnuH37NoaGhjo6rlYgk8ng9evXkCQJjx496vi1BlAIaKLR7gnUmykvlUbljYgfAY1hZGDbvRUceJ1O4XBjfoGXCV7ZSZJaG4L4EtCoqoFg8PKms2uFovQhkdjyiRzNWsWZD8rp8SmlLlmuhiNQlu2p1ILNeEeVIQihM8dkAdApPyYQGEE+v1el640gEBi+tMrAwGm3WzdAEATcvn0buVwOq6urWF9fx9LSEkKhUPU3dxkMw8C7d+9wfHzcdR5XfizmzcCydOTze02Vl0qhnDQGwK7Bzs5Oy84FoCftEIJBGdlsc+a+lwWBgARV1dHX19r5xpeSE8eRS5nKrh0EihIHITzyeQODg5MQxSha7yBLXUL0KdiupdZrz3gxrE27NDw+UnkQiOLpTpjxlQCm6sk6tiQpDFU1EQyW2pkQ8LyCcHgSslz/Yu+Z2fXC/dZNAY2HUCiEn376CbOzs/jvf/+LN2/euArZ3Q9KKdbX1/Hy5UvEYjE8e/asq4IZoLsCGl0/QTb7tcny0kVU4tAB7B5rZacTALdbs/uf+WJceTqdgtLWW/IAPmVoeJ6DZfWmTHVzIC4DfxiiyCLPTCaDkZERhEIxOE7c7bbKoVUP48VyT60EaKblEwgMlr2xHMcqsnAoB0YO9nCegM3azwk0zcHAwCQo1WBZKii1wXESAoFBiGJtZSbHsWEYadenyzyjmUMI5xqYRrvWmTuTyXRtaWdoaAjLy8v48uULVlZWcP369aatGfzE4eEh3rx5Uxi3IHTndx4KhTrOoaHUKWuj0jxYab0SOI4rmP626n4ihAPHCT3HodG03iqT+QXbdqAoPSKsJwg8bPtbC2g8P6azAUI2m0U4zHguHCciFBqFbRvQtEQLdBQuCgxKUtStkafcrMX54zONm0BgCIIQrDjBMKJfJRVhUjAK9XCqX8HAcWKBDBsMnk58jmPXrD3jOBY0LVXktXV+PKwLjGnupFwH9njVz9duFN8L3QiO4zA7O4uJiQm8e/cOX7586boSjlciA4Aff/yx60tkfrQt1wPHMYvIs63PaDBV9OoldU+PppX3P88H4Djdkf2qBd5c5DgUHNc981In4PFsWw3fMjTfTkDDAoRgcLSkhQGl9IILMnPVHnNbmveaSAFfDGiYXg1r6zaMrNvWaILn5TNKv5UWek83RtdTFcbFdmbFrZqs/HNWa4HnZWiadoGgWStXRtePoaq1khdPu69yuT0Qwhdp93R2AvGCum7NJBRDkiTcvXv3DMn29u3bHSXZWpaFDx8+4ODgoOdIzKFQCPl8vu3BrGVpyGZ34J+pI4Esx2t6trzSWyuvgSgG26gt1hqIImtZbjUZttfgl1GnL1eVkF7h0NTuYXTxfeyBkqRY1QChHHheQjg8gXR6o4ExAKU6jAojJASyHKmLl8IIxVloWrLCjo4p+4ZCoxd2ZkxrwXP1JhDFCBSlH4eHRxW5I5Q6oNQp6enUeHmOqR2r6iF0PYVIZLqjQU2poK7bEYlE8PjxY+zv7+O3337D2NgY5ufnLwTofoJSiq9fv+Ljx4+4du0alpeXe07Hw4/FvHb4NQ+zzqZaZRa8azA2NtayEdTq59dNsG3HR4/D3gG7Dq2fR77hMJE9kNVJr6evBygEIQBJilVtd/bAcRxs2y67CHAcD1mOVdSVKQ9aUEOu+CpK3aDBKhjHee9ncSerbxvGSQ1O3BTh8GTZDEskMgnDyIDn5TM8olKTueNY0PXjImIzIxETwkEUwwgEBioSlmsDIw0zl3GWQWKqpu0NbrqREFwLCCEYHR3F8PAwPn/+jOfPn7dNqC6ZTGJ1dRV9fX14+vRpzwoB+rGY1wJBUKAoAy1sz/Zwmp2t9R6IRCLY399v4RgAQgQIQqCoEaH7N9GO03oxuV5ET5WcegWBwCAUJY58fh+WpaEU3wRgmRSmiBuuu61YEARYllVxVyvL8YJ9Qz0gRCj7cDiOjXx+zzWc9ASMiu0GUPf5Ts9b/kbkOPGCYmg2m8XU1FTh34xDlCyTfWF8GMNItzCdTF2XXvZ3prLc3vbwXg1oPHAch/n5eUxNTWFtbQ3r6+u+WQmoqoq1tTXouo779+/39HUD2GK+t7fXkXMrSh9sW2/hs0SgKANQlMpE4PPw1IJbCUIIwuFxt5yrI5fbLZrruhdXAY1/mSrfAhpCLro8dxNEMeyWSASEQuMwjAxU9bDwe2baGIMkRZrqmhFFEZZlVTTD4zgeihJ3fZdqnXRYa3g56HqqaOfioRRJuL1wHAuZzFYN46Atnpy88xH3uO0PaGZmZtp6Tj8gyzLu37+P4+PjgtnjrVu3WmL2aNs2Pn36hJ2dHdy6dQsjIyNdO3/Ug053OgWDw8hmTbdjsZHnnwPguD5w/Q3JK/hJQyCEuNzAEEwzXf0NV+g4bNsfkrxvAQ3P877VyZoHOSMExfgmUYhiEIaRgSiGwPOtSW97GZpqUJR+iGK45u4n5mVSun5NqX1Bn6aVqHeRKb4GTMW4kyAd2cV1jkPhD/r6+vDkyRPs7Ozg1atXmJ6exuzsbEOTFKUUu7u7eP/+PSYnJ/HLL7/0HE+mEnieb3nbcj1gmYwJGEYGmnZUpvvxzDvA+HkSRDEEQQi4Zr+NfyeWZUEU/RXDE8UATLMWlfTOoDd4pe2DH8+CjwENB8uyuzagEYSLBE2OEypmPRqBIAgwzdpcVou7n1T1qIKpJoEsl69fa5qfwUz9k5qXpQJqEerzGxSO096AhnWN+T+htxuEEExMTGB0dBQfP37E8+fPsbi4iJGR2t3ST05O8Pr1a4RCIfz8888tyfR0I4LBIPL5fMfazL1NGzN0PC6TDSYQhCAUpQ88r7R0wbEsy/cOv1JzejfBcagvvJErnMK3O0wQurd12ys3tedcYt3Kq6z7aRy2rUNVExcCGzY5leYuUOpUabduFKy7KRgcrvudXlDHPJ46IYTFdpyMqBw5I+R3SphmZGiOE1t+bziO09bOoHaD53ksLCxgenoab968KdgoVOK+6LqOt2/fIpvNYmlpCX199XEyeg2KokDTtI7r5jBZh35IUgyqenSGW+PpZPkxN5qm6XtAw3FCV3fY+kWEvcIpfC05dZ9aMFvYZLl9RnG1lpxKgeflosDmqEBcrpSdab7UxHR1WOBxeo5AYBCSFG1osvMCmvZrRhDXwJPtTIu5UJalIZ8/gOMYhdcCgCzHKnpbNQKO4+A43fYstB6BQAA//PADkskk/v77b8TjcSwsLJzJTDmOg/X1dWxubuLmzZv47rvvLgVPphq6LUPHcTxCoRHYdhz5/CEcR0c47J8reTsyNAAT27Os1pKPW4XupWC0F47j+Haf+Vpyam+GxssgjJzTR2ELqBe1EwLfO1yK26QJcaBpGWhaChwnQhACdXdKscBmApalwzDSZQMyTyG48aCBIBgchSSF3M9gwbaZKF8zppGCIEBV1TbvnAgikakLXCjHsdyd6fkOK/Z3XT8BIULdXRwVR/INLNjF6O/vx7Nnz7C1tYUXL15gdnYWMzMzME0Tz58/x9jYGH755ZdLnbU6j3Yt6PWC5yVEIhO+83vaFdCxNu5mFdj9gWX5IybXa/BTi8fnklM7uQrUlfnedjVMBt1FmD2kfjyrppmHZamuOaLl/mkXaacQ2HYWmmZA00R4GSJCBIhi0FXurT3AEQQZglBeIdUw0k0EDcRNRbOUOOsAE1viauuV3QRBga43KmZYD1hg5gUzjmPBMLIwzUxN3lSaloAoBltGDP8WQQjB9PQ0xsbGsLq6io8fP0LXdTx79qznBAZbgXaUXJqB30F3uwI6xhFKdWX7NtMjuwpoWGDnz2bmEpacKEwzA9PMuWWS1sjel9rB5PMHoLRSOYmC50lRYOdliywYRtrt+GFqv4IQdLurlIazIY1nZ1jXVymTOdvWoetpN1CzCwEbz8sIBmurt59q8cgNjq8eMNEvSQoVWUsYqFcV2rK0lgc03Sxj4AdM08S7d++QTqdx69YtrK6u4vXr11haWkIwWJsh6WVBt2Zo2oV2BXQcJyAcnkQ2+7XrgporlWAGZgHTgxka0+ykE6oDVT2EYZy4ZajGFyfDyCGf34csR6EoA3UtSpXJ0WyBZRmE0wBHluN1q9meVQCuHcwdfLSs47VhZGAYF3k5jmPDNHOQpOqtyB6Hhjlv875ONDwvQVH6S/jY1BNIUej6cUs9oARB6Bkvp2ZBKcWXL1+wvr6Oubk5LC0tgRCCjx8/YmZmBr///juGh4dx48aNb+J6AOyaXKZW9HphWRYUpT1WBTwvukHNVguUxlsHPzMTvQQ/S2++PWGsbbvTNxNTkMxkNhvSP6GUQtOSyOf3ADjQ9RNkMluw7drasIF6M1Uej+MYmcwmbLt2q3nWCVXv4ksQDk+VDWYAXDCbPAWFqh7WVOIq7vRiHlBKA2OtBQTB4AhMM4dsdhvNmPI5jtmgHUVpNEMO7yUcHR1hZWUFuVwOz549w8zMzJmgcHh4GMvLy1AUBUf4aLkAACAASURBVCsrK9ja2urarpQrtA7tzlB5QU0z2jmthp+ZiV6Cn+RoHzM0fJe0bZMCGbceUOogn98/J3JH4TgGMplNBAJDrhpy5eM0xiVifKBMZguKMgBZjlXNFDRm4lje3NJDJc0W1iJ+XNDuOSUSG7AsHbatwXEsKMpwYTEXhAACgUFQ6rj2Bl5HQrOLGuMA2bbu2hw0ezwWzHru5M3isgc0+Xweq6urcBwH33//fUURQY7jMDs7i4mJCbx9+xZfvnzB0tIS4vHWakBdoXvQCQ4Rk7/wyk+dX4ssy4EkdU+nW6fgZ/u678J6nUX9Jmoecrm9CsJ21LVJqL5oNpepYgRVxzEq6r8w4bZ8A8fnql6Xahwh5sxtwrK0c9mc02tjGMnCYu44lps9Yd1bitIPx7GLBPdqt37w1EwFIVAgWavqUR3HqAaKbHan4E8liqGGS1D1CCz2EizLwocPH3BwcIDFxUUMD9euUyRJEr777juk02msrq5ClmXcvn27baWJduFb406VQqc4RF5Qk8lstv3c52HbV11OgL/X4RK1bReDOTaHQmMNWcyzAKFcMFN4VU3H8iwgGgeFYWSgKAMVycKN7EBqIR9X10+hbjBSHsVpX1U9df61ba3QdeRxkzTN61AorZBMCA9BkAEQOA7LBnkcHybTLsMwWtlJxbJy+fw+CGElLc9FvB40IrDYzaCUYnt7Gx8+fMDMzAyWl5cb5ohEo1E8fvwY+/v7+PXXXzE+Po7r169fGr7Bt04IBjqrw8PzEgjhOp6luSo5MViWA0Xx517w7eq2vuTkOUVXf50ohhGNzjQUzAAoEltrHhzXGuXKUsRcD2z3V/8OsBpRmnGFmh07h0CAtZo7jieuVwyWldG0BHheQjQ646ogn/88rBOLUhumqcI0s7BtDed5Mmc1iFoJ5sXTqNLxZSo5pVIpvHz5EslkEk+fPsXc3FzThFdCCEZHR7G8vAxCCFZWVrC7u3sp+DVXAU03XIPOBxJXpGAGP9vXfS45tSqgYVL/PC+73Txm0Y+3m2eLejA4XFPnTSWY5nmX6k6Ddd3Icrxs6prtQOor8TFybnmc8lsaBfs+WCaIIpfbR/kAiSKb3UU0Oo1AYBA8ryCf32dHIQJ4Xih0gZU6hndZOE6qcI7m0Sif5jKUnDRNw5s3b6BpGr777jtEo61X3OZ5Hjdu3MDU1BTW1tawvr6OO3fu+HKudqHbNWjagU5fA47jYdud3VBctW0z9KSwHseRFsi9M1v4QGAYPF8+RUWpA8exQAjflKKth25UmmRlsBxEsXSwVn87NFc1m9GsVQHjtgSgqkeg1IRp5qvs5B1ks9sIBofd2jdzCDbNXMH2oTw8AUWmGN1qzyhCOPc+bKz9v5czNLZt4/Pnz9je3sbCwgJGR/3x+ymGoih48OABjo+P8c8//yAajeLWrVuQpN4TO+w224NOoNN+ZqHQWBmF8PbhysuJoSeF9Zqb8Ii7gAzVlG0hhGupCBorZbQWzRMDKTQtVTagYf5L9R2vUksjpbTJ60DA8zJOTjYAnLavS1LlB5qpPe+cGWet5/PgZfJaCUopVPUAqnoEQjhwHAdFGag5YyOKInS9mkpxd4FSir29Pbx79w4TExNYXl5u+6LU19eHp0+fYnt7Gy9fvsTMzAyuXbvWU5ounS+3XIHjBIRCo7BtA6p6WOMGqbWBzxUpmMFPLlEXXl3WmRSNzjRdOmoEtm22vG5fH0GaoNzXYttGWW0aQuqdMKmrdFz6s7JMR6O7SjYZMB0XViKqz32dolxpqdz5zraf+3Fbn/pzOY5REO5jJObq4wwGg8hk6tdC6hTS6TT+85//YG9vD48fP8aNGzc6tsMmhGBychLLy8swDAMrKys4ODjoyFgaQSaT+eaUkbsVXuY3HB53y9PFm0y2kZakmKth0/og9FvvdgP8FdbzfdtQX2aCuB5CnUtNXiStNg+PIF1ZTIh9dknqgygGYFkaLCvv7iSAU/JsCqHQyIV387yEeikaTDzupKwRoyhGoOvJ+g5aGGvxn/628bPrFin8248MW2mwtnWmgVPZzDIWiyGdTnd9C69hGHj79i3S6XTXacMIgoBbt25henoab968wfr6OpaWlipq3nQDDg4OcO/evU4Po2PoRmK3IAQQiUzBsvJQVdaQwHiaSuH55PnL1ZnYLWCZqh4rOQFMQMtxmJ9RbaCuOm8CmpaEovRBlvvaqvZ4SjxtHbzFXJZLZTxYAKcocUhStPAwsVJG3C39GLCsPEwzV1YXRhRD7uJan8Q/M2IMleQoeUZvrbgefrbxU0qRTm8iGByCIARbXm6qcnZoWsIV4CtPsiaEIBqNIp1OIxaLtXF8tcFxHGxsbODLly+4ceMG7t6927WBVzAYxI8//ohEIoE///wTAwMDuHnzZlfyVGzbhq7r33SGplstPwghEMVQWRkGlsHptgaR3gezAfFnbmkwUqhtMI07blMADjQthZOTdahqoqJibavgdVC1GpXKLYKgIBQaPRPMFIMQAkGQoShxRCKTCIcnSh7H01qoH4wbUv6YrYmk/VWOZgrFudxehwS0qKtOXBlDQ0NdWSo5ODjAysoKDMPA8vIyJicnuzaYKcbAwACWl5cRDofx4sULfPnypeuyAYlEAgMDA50eRkfRqxwixstszXPgOE5PPFO9jrpXwFjsuitYF0Q1bZjmW7dZmUXXj5FObxTIXH5NWo34PdWCSn5OlqUim93GyclnZDJfoWnJhj9jOcJwNViWWlZ0qriU0wzaoxxN3YC0/YuaJyNQCcPDw10V0GSzWfz222/Y3NzEw4cPcevWrZ5beAghmJmZwbNnz5DNZrGysoJEItHpYRVwcHBQl3ryZUSnW7YbBeMQtiYIuWrZbg/qvstYmi4IUWSpfV1PwzBO3AXx7ELSul25Z9p4Al1nqrQ8L0EQghCEAARBaUlZyo9yE1BLpqpYOVcDkALAunVCodGqfkseRDFUZCFQDwgsSy2ZemVlJ4/c2zjqIwX3JgwjW/C1KgVFUWBZVsd3rKZp4v3790gkElhaWroUGQRRFLG0tIRsNovV1VWsr6/j9u3bHS/1JBIJ3Lp1q6Nj6DR6tW2dleFbsx5cieox+J1BbWpW5TgBgUA/FCUOy1Kh68euZQAAUJ8ct73FX4dt69D1EwCOa0DpBTgyKAUotd3OlOIfu+jHKWQmgsHRlioEF6P+63Aa4ORyewiHJ2pKVzZuokhhmrmSAQ3HebLhzWVXeJ6HpvW2sFxlMAuISgENAAwODuLo6Aijo6NtGtcpKKXY3NzE58+fMTc3h9u3b1+6NHg4HMajR49wcHCA33//HSMjI5ifn+9IAKmqKkRR7MnsRCvR6QC+UbRy8b3K0DD43bpe912mqklwHA+OE0AIXxCz8wwCi7M2zfsY1QJ2fMcxYRgnJXyFivUEyt+grLup9doDAMtUmWZjAQEL2lJQlP6qr2V8m0BDRpXlVIFZ1xmp6ipeDYwU3GmzUj9RW3fe8PAwdnd32x7QJBIJrK6uYmBgAM+ePevJHXM9GB4exuDgIDY2NrCysoIbN25gYqK2jUGrcHBwgKGhobadr1vRqyWnchIZjeBKVI+herdvc6j7LmNtvMXcmVO9EI4TEInMFLI2oZAJQeCgKP2FjIr/HSjnV97aVuJmVXErgec5qGqjDwdr1WbZp+reVJIUqcFYs8RZqAPbNi4IFDKidPPf2bdQcuI4sWpbdn9/P1ZXV9s2pnw+jzdv3sC2bXz//fdd3+LcSnAch7m5OUxMTODt27fY2NjAnTt30NdXucW+VTg8PMSNGzfacq5uRq9maJhxbmvWhCtRPQa/A7sG77LSomfFTG6mDSLDtu1CdkFVEy3hY7QenK+BVvMtyxS5HPM5qpYFaMac0XGsCwENy/Y0n7mqRIy+HKAwzSw0TUQgUD6bxvM8FEVBLpdDKFS/a3etsCwLHz9+xN7eHm7fvv1NE1NlWca9e/eQTqfx+vVrBAIBLC4uQlEaM6+tBUxKIN3THlStQq8GNKf0iebhd2aiV+B36a2lRz6/GBb719i22aXBjGfs6N9i2wpyNKU2crn9qnVdtqtoBKQksdowWpO5EkUepnnZRaoodD1VIK6Xg5/dTpRSfP36FSsrKxBFEb/88ss3HcwUIxqN4ueff8bo6Ch+/fVXfPjwwbcy6PHxMfr6+i4dR6kRGIbRkx5creRUXpWcGPwmR7f0Cp8viYjiqdIi0+novmAGgLuQ+ze2VrUsW5ZagiN08TWNfZaLpRJmiNmaXYokCdD11ttKdB+oK0ZYHn4FNMfHx3j58iUSiQSePHmC69ev95TnUTtACMHY2BiWl5dBKcXKygr29vZafl9etWufIpFIoL+/Ogewm+A4dks3uVcZGgbb7sqSUzE8ZdvgBeKql6ExjGwb5ejrh99KxK3jj1Co6hEEIVDWjLO5AORsQNPK74wp5QaRTquIxS63amq1iTAUCiGfz8NxnJYEHJqmYW1tDaqq4rvvvrsqc9QAnudx8+bNCzYKrbp2h4eHuHbtWkuO1cswTRO2bUOWGy+FdwIsO9O6JhHLchAMXm0u/C45NRXQyHIfJCnitvZeTK0KggDTNBvURmkfeF5uKQHs4vFbyx+p1ELdTHB2np/DOp9ad03i8TCSyew3H9AQQjAwMICDg4Omup1s28bnz5+xvb2NhYUFjI6OXpU46oSiKPj++++RSqXwzz//IBqN4tatW02VSFRVBaW05xZxP3B0dITBwcFOD6NusGe4dQGN35mJXoFl+ZupauoKW5ZaNpgBTktOkhRFqxQXW4/zTs2tB8cROE6zAQ0BzyuIRmcq6s2EQqOo/1oTBIOj4LizN9pFN9ry76/kEu4hHg/h+Lj15p/dB1o1qJmfn8f79+8bKnVQSrG3t4eVlRVQSrG8vIyxsbGrYKYJxONxPH36FPF4HC9fvsT6+nrDz+y7d++uuptc9GrpjdEnrkpOrQbz9epSUvCpsF1peCWncuZf3QIW0Pi3GDS/0BAEAoMIhyeqBl8cJyIYHEHtn4cFM5J08TuS5agr6sdXPJ4oBhGLzbnBVrDsawWBByHkGyAHk6pdc8FgEH19fdjZ2anryOl0Gr/++it2dnbw6NEj3Lx580qBtEUghGBqagrLy8vQNA0rKys4PDys6xiZTAbZbBYjIyM+jbJ3QClFMpnsOf4MAFdfrXUbXUaGvcrQ+H0dmjoyx4mQ5fI1Zy+gYS3crfEEaj1oywwYWw8CnpcRiUxDlmM1B0aSFHa/l2qvJ64xZvmAUxBYVogFpaWPZ1mMa8NxPEKhMQQCQzjN2pz1+4rHQ0ilSov4VRtr92b5zoPUZHJ68+ZNfPjwoaZMgGEY+Oeff/C///0Pt27dwvfff49AoFFl6CtUgiAIWFxcxMOHD7GxsYHffvsNuVxt9+zbt2+xuLh4lS0DkMvlEAwGe5aYLgit24j7nZnoFXSdsJ4HQnh3917+S2IKsyylLst9vnklNQMWzLRnTNVE186CQFH6IYoR2LYKw8jAcQw4jglJikCWK4uDKcogHMcuUgD2PqNH4lagKP012SUQwiEUGoVhZEp2q1HqwHFM152bQJajEMWgG+g4oJSVYEwzj3g8gp2dJIaHYzVeh8JZQIgASnshu+PUFNAoioKRkRFsbm6WJZA6joMvX75gY2MD8/PzuHv37tVi2SYEg0E8fPgQR0dH+OOPPzA4OIgbN26UVVlOpVKwbftSeGO1Ar1abvIgisGW8T+vMjQMfrevN3hkUlP5oxg8L7nupd0EAkmKuiRbf4MaxqOp5RwEHCchEpmCKIaQzW4hnz+AridhmlnYtg5VTcCyKuvNEMKyL9HoNSjKQMHrKhgcQSw2i3B4om7vJ0mKIBqdccX7ihdV6iotF39eAZIUhiRFIcsxKEoc4fA4hoYmkc2qNXBHGGfI419xnARFGUCvZGmqfT8e5ufnsb6+XlIP5fDwECsrK9A0DcvLy5iamroKZjqAwcFBLC8vIxgM4sWLF9jc3Cx5/66trWFxcbEDI+xO9HpAw/MK2LrQ/DNHKe3ZTFUr0XVeTixzMFC2bbgSZDkOVe0ePRovS2EYJ/B7TJ6vVeUvk0BR4pDlOGxbQza7U2ZcFJaVhyBU76LgOB6K0gdFaY3cO8cJCIcnoevH0LQECBEgCEpN6VlCCAKBOGKxfqiqhWBQQunPxyEQGIQkRdz3DLrZLQ6adtS0UWY74Di1BTSiKGJqagqfP38uEElzuRxWV1dBCMHDhw877hh9BXbvXrt2DRMTE3j37h1evHiBpaWlAj/k8PAQkiQhFqs383g54TgONE3zVQ3bb3Acj3B40rXtMeA4OmzbcrPEXgm8tGo+Q7E9EMDyB5dZLb06uq7kRAgPWa79oSWEFPQ2ZDkCwIGqHqHTQQ0hPEKhUbcs5v9NdqpF44n4UXccnEtAExEIDIDnZeh6Gqp6iMrXqHPXjxAv8GpMCXV4eAS5nIGhoREYRg6WlS98B6IYQiAwdKbjil0j9ndF6e+K+6ca6rHSmJ2dxfPnzzExMYGNjQ0cHR3h9u3bPdnuetkhiiLu3LmDTCaD1dVViKKIxcVFvH37Fg8ePOj08LoGvSimVwpss3ZWMJaV0G04jgnbNuE4hhvwmAAoOE4Cz8vujwSO40HIBrp9zmoHbNsBx/mXZa47oAkGh+taxDxisKfrIMsx8LxUIfvQDpCi7p3quiGtgCyLyOcNRCJ9CAQGC51VxdeSUlqz31U3KO42Wv4YHh7GX3/95fIRmFmi45ig1KnqRSVJUVeoUYVf7uitQe3XhuM4xGIx/N///R8WFxexvLx8VVrqckQiETx+/Bj7+/t4+fIlJEm6ImkXodfLTZVACAEhAjhOqFq2t20dh4efwRoRu3Wuai/8nNvqLmaJYn3p72L7Aw+CEEAkMtWh7iKCYHD4TMnMcfwvYcTjYaRSGViWCkptN+tw9ovVtGQdfle9m7oMBAIwTfPMfcFxYk3GmoQQRCITiMWuIxweR4vdO9qOZDKJFy9eQBRFKIpyJY7XYxgaGoIoihgZGcHz58+xvb3dFZuNTqNXBfVaBUopNC2FTOYrkskTxOO9W3rrJfi+GhQbVBaD5yVEItMlCKa1gpFGRTGC2lt6CWQ5dqGFnKUU/V1E+vqCODnJw3POLhVE1WPe2etz5sDAABKJRMPvJ4RAEAJuUNN9AUA1xWZVVfHHH3/g/fv3uH//Pu7evYuFhQW8f/++TSO8QiuwtbWF4eFh3Lp1C0+ePMHR0RFevXqF4+PjTg+tY9A0DYIg9KTDditAKUU2uw1NSwKgSKWyiMfDnR5Wx9GOQL8tAY1plm5h9UhXlTROSoMRk8PhCYRCI4jF5hAKjbnli2LtE/bxCBEgiiEoyoDbKXMW7dDI4TgOkiRA0wxQ6iCfv+icfTr+6uj1XWCrDBoFQalTSLBeNBZss+6si7BtG+/evcNvv/2GyclJPH78GJEIu//GxsZwfHxcs+bJFToLz3pifn4eACDLMu7du4c7d+5gdXUVf//9N3S9NnL4ZcLh4SGGhoY6PYyOwbaNgpUOpRS5nIZwWKn6vssO1unl7+bT9xC6XIbGAyEEweAIdD0FTUuhcoaCgONEhEKjZ0pGhBCIYhCiGHQdovOuLgojZlXbLRPCQRRDF1qPWw3Py2h8vL/gnF1MsA4Gh5BO52vs4undkhPAMjRv3ryB41iwLA2WpcK2dQQCAw20k7PdTy3GnI5jFIQAq91rweAwOE6Eqh7V7fV1PqChlGJnZwfv37/H9PQ0fvnllwttnIQQ3Lp1C2/evMGPP/54VXrqcnz69AkTExMXfJ9isRiePHmC3d1dvHr1ClNTU5ibm/tm2nYPDg5w/fr1Tg+jY6DUhMfvy2ZZMHP1LHtaPP7STHwPaEpxaM6Ddc30g+Mk5PP7ZV8ny31QlP6KNwcLbuqvV8pyrOVmjOfR3x/G+vo+xsf74TlnMxO7qMup4RAMjiCX260yDlIT36SbwXEEPO/g4OADFOW0fTub3YGiDNSljAzA1bypLa3rOBYMIwNdPz5nQld8zSl0/RiRyBTC4Qno+gk0LYFa7g9RDJ7p0jo5OcHr168RDofx5MmTiqaFQ0ND2N3dxcePH6/8gLoY+/v7ODg4wM8//1zy94QQjI+PY2RkBB8/fsTz589x69YtjIyMXOrFjVKKk5OTb7p9nXU4sg1nMnlVbvLQDrXkjmdoiiFJYfC8BMvSCqRZb6FvtbfGefC8AkJ4X5VoAwEJqmrAcbzUG4WmJaBpCchyDLLcV1gMK7X9MsuJ1ujKdAq6nkY8HkIymXEDPA/smti25nbUtf4B4Dih0HbutV+ebcE0QakF29bhOHZBy0cUg8jnD2HbWtHRigMclkFUlEH3M+pYW1tDLpfDnTt3aprkCSG4e/cufv31V4RCIYyPj7f2w1+haaTTaaytreHnn3+uuuPkeR4LCwuYnp7GmzdvsL6+jjt37hTKjJcNXjBzmYO2arDtU4pFKpXF7dtTHRxN96AdasltCWjqqSPzvNSQaF+zYJL9sQKRy69zRKNBZDJ5xGJeFomdS9ePoesnEMUgCBEAlAtoCEKh3nZWppRC11PnMlZnXgHTzCGT2UI4PN6wwrSnF8H4Ro77JwXHieA44Uz7JXCxzHXeqoIR2ScKx7VtHZalw7aZ8rFnJUEpxcePH7G1tYWFhYW6nbA5jsPDhw/x8uVLBAIBxOPxhj7/FVoPTdPwxx9/4Mcff6yYaTuPQCCAH374AclkEn///Tf6+vqwsLBwoVzV67jM7dq1wrM9sSwbjkMhSd8mOfo8mLCsvyUn34u6tZScugWezL6fXTMej6Y0KExTrVBOIggEhsDz3WYhUR9Y67pTyFiVJjhTOI6JdHoLpplv6DymmUU6vYFMZhOZzFdkszvIZneRTn/Byck6crk9GEa6rO/S+SCEeVYxs1WOE1wRwH6EwxOIRCYhikEcHBzg+fPnsG0bv/zyC8bHxxsKPkVRxMOHD/H3339DVatzg67gP2zbxu+//46lpaWGMyz9/f149uwZYrEYXr58ifX19Z4n+Bfj8PDwKqBx55Pj4xz6+q7atT1YlvNtlZw6DY7jEYtdg2FkYRgnsG0Drc7WxOMhfP16VOa3LEvEMhIXReMEIdDFruW1Q9cZ+dvLWKXTKmKxcvpGDnK5XShKf93KxBeNOU+vJ6U2TDNbeI3XBi4IQQhCABwnnjmXZenI5XZBqQVBCECW4xCEQOE1mUwGr1+/hiRJePToUUtE1kKhEO7du4fff/8dT548+WbbYLsBlFL89ddfmJqaanrBJoRgenoa4+PjeP/+PZ4/f47bt2/3fGeQaZqwbbuuzNVlhNfUkUxmGzDhvbywbX+NKYE2BTTl2ra7EYRwkOUoOE5wybmthSDwIITANC2I4sXLL8t9cByj5LiCwd4nFDqOWdRldJqxKh/QAIxXk4Rl5REMjtTMpaql68kLcihlZS4vG8RxIsLhMRAiXOjAsyzV5Xnx4Pkw1td3cXx8fMbbp1Xo7+/H3Nwc/vjjD/z00089//33Kt6+fQtFUcq6ojcCQRBw+/btgnfX+vo6lpaWetb/6FsX0/PAcRIsS0U6rWJ+frTTw+katCND43vJKRwOI51O+32alsK2jRo6jRpHX18IqdRFrRFRDIHj+JKckWBw9EznTK9C188agcbjIRwf19IuT91J4gt0/aRqmt5xrAYtLRjPxnEMpNObyGa3SsoJUOpge/sAv/76BxSF4unTJ75510xOTiIWi+H169e+HP8KlbG1tYV0Oo2lpSVfjh8KhfDTTz9hdnYW//3vf7G2ttYzWe1iXPFnGJjfnAlFEb+ZVv1akM2qCIX81eNpi7CeIAjQNK36i7sAjmMjm92G3+3bF3k0rHUdQJElBIEohl3xwd5xXKaUlu3SOv//xRmrGo8OVT1CNvvVLQmWRm3ZmernKlV2PD7O4a+/1qFpJu7fv4ahoRAyma2K42kWCwsLMAwD6+vrvp3jCheRSCSwvr6OH374wffs2NDQEJaXl6EoClZWVrC1tdVT/JpUKnUpDCmbhSAEcHycv2rXLgKlFJmMikjEX7+ztoSPrVKFbQd0PVWjsF3jiEQCyGbVM5OV58wKeH5FU64C8ugFt9duBlPGZMTb4tKSh1LZp3IZqwpngW3ryGS2oGnJkpO+H5pCqmpgdXUL29sJLC5OYm5uBILAgymCWshktmAY/qj8EkJw//59bG9v98yz1OvI5XL4559/8PDhw7bxlziOw+zsLJ4+fYrj42O8ePECyWSyLeduBtlsFoFA4CojAfasHh9r6O+/Cmg85PM6gkHZ903BVUBzDu3YETF1ZBm5nNfOTqAoZ1tzeV7qSb6Erqfc7AjzMzGMs5koz2W8GP39YaRSjag0ewZwm7AsDbZtwjDSyOX2igjBzcO2Hayv72Nt7SvGx+NYWppGIFCq3ZYin987o0PRSvA8j4cPH+LNmzc9V8btNRiGgd9//x0PHjzoiIu2JEm4e/cu7t+/j3fv3uHPP//s6m63q3LTKRzHga6bCAZ7ZyPqN9olMNiWgCYajSKTyfRE+tQPIbdSKF7ECeEhCL1TUioH08yf45tQ5PP7Lm+GoRQPKBIJIJNRG7w/WHt3NruNTGYT+fyha2HR/L1GKcX+/jH++uszJEnEgwezNTyU1O2G8udel2UZP/zwA/7444+mzD2vUB65XA6//vorFhYW0NfXWQHLSCSCx48fY3x8HL/99hvev38P2/Y3g9wIvpV2bUopDCMNXT+GpqWgaUmoagKqegRVPYRp5pBIJDAwMABJ6kM3Gud2AqlUti0Zq7as3oQQxGKxHnGgbU/QFY97AQ3LzvRiNqYYjmMil9vDxetH3Yf9yBWqu5ihIYQgFFKQTjemN+Od56J9QeNIp/P4++8NZDIq7t2bxcREZcuNYjiOUiFJSgAAIABJREFU6dok+ANvkVtbW8OHDx96YqPQK9jd3cXvv/+Ou3fvYmxsrNPDAcCej9HR0YL/18rKCnZ2drrme9d1Haqq9mx3Vj2g1EY+fwBVPXJV3pPQ9VRBGDWX28PW1gfEYgokKeRu4M7PG+Tcz+WGbTuwLBuy7L9+WtsKnr1QdtL1zJlsgp+QZRGWZQMQyjoz9woopchmd1DeMJNC10+Qz++7hOeLE/H09CA2Ng47Pknruom3b79iY+MQN2+OYX5+DKJYb3cZ84Hyq/QEMOXZJ0+eQNd1/L//9/9gGP4Rkr8FOI6D169fY3NzE0+ePOlKdWaO4zA/P4+ff/4ZBwcH+M9//oOTk/bMV5Xw4cOHb8aMspIlDQPF8XEW4TBFJvO1YKYci11HLHYd0egsotEZhMOTbjWgO4JSP3FykitSxvcXbQtohoaGcHh42K7T1Q1dT0NVD9DOGywWC0FVhZ7PzuTzBzU96KaZc4nCF69xKKRAlsUGuTTNw3EcbG4e4vXrTQwNxXD37nSTLYac7232HMfhzp07mJ6exqtXr5BKpXw932WFqqp49eoVZFnGTz/91PV2BLIs4/79+7h9+zZev36N//3vf3XZy7QS+XweiUQCk5OTHTl/u8HzMkKhcSjKAEQxXCSCSgBwMAwLPM+5Ev9MaiKX20M6vV6w1SGEh6oeNigr0Xtop0Fn26RHZVmG4zgwTROi2F3S/bp+AlU9QnujZYKRkXEcHSUxNjbRxvO2FoaRqYOzQqFpRyilggwA164N4c2br4jHw20L8iilODrK4MuXQ4yMxPDgwWwLOjWI6wp/9jies3erP9vY2Bii0Sj++OMPTE5OYnZ2tueD5Hbh4OAAq6ur+O677zAwMNDp4dSFvr4+PHnyBDs7O3j16hWmp6cxO9uK+7d2vHv3DgsLC9/M/UYIgSgGz8hoFHu7JRJfSizetOBfp+vHrgmyjW8hOwMAJyd5zM6OtOVcbdVSHxwcxNHRUcdq07p+AsvKQ1EGC35Imnbs8h3ae3NxnIDR0Ql8/PiiredtJSildQeCbFEv/XpFkRCNBnB4mG6LZHg2q+HTpz0oiojvvptpoYkchW1ryGa34Ti2a5DJPrckxRAMtl7iPhQK4enTp3j9+jX++9//4v79+123cegmUErx9u1bpFIpPHnypGfl+gkhmJiYwMjICD59+oTnz59jcXERIyP+LyCZTAa5XK6uc9m2DsM42yBCCCDL/T0rHFpscnt8rGJ8fAjl50Qm8fCtQNNMiKLgu+WBh7aKBrSKR0Op4/7UF4SwbELO7YY5gKomOhLMMMfsUQiCAFmWkc83Q4btHJhib71p08rXenp6CFtbR3Ac/74T07Tw4cMOPn7cxdzcCBYWJlruiGuaWViWCscxzuzGKtk2OI5V6BRjWj4bOD7+BF2vrUWb53ncu3cPY2NjePnyZVfwK7oRmqbhP//5Dwgh+Pnnn3s2mCmGIAhYWFjAo0ePsLW1hV9//RXZrL/l27W1NSwuLtaVndF11iFkGCeFH10/QTa73fMlGEopTk5OMDIy07Zu2W4H625qH1m8rRma/v5+/Pvvv263S30pSkrZrpd5+hTrMXgpfOL6MMUhy6VJtqceSaz1rlzpwz+wz6wo/QVHbS/Ia6VHTDtAqVOoCbcSkiRgYCCCvb0UxsdbqzrqOBQ7O0ns7aUwPT2E+fmxNqfKSUE80YOup88ZoV68J1X1EITwkCQ2MXi+U4aRhiRFIYqhM5/Ds0r4888/ce3aNczMzPj8uXoHR0dH+Pfff7G0tHQp24wDgQB+/PFHJBIJ/Pnnn+jv78fCwkLLs3WpVAqO49RdpivnbM+6JHcRCjXmTt8NODk5QSwWA8cJCAZHfbXP6RUkk1lcu9Y+09W6w8hM5ivy+UPoetrdgdauicBxHILBIHK52kXPWO0xjUxmE9nsTglJe+pma2w4jglVPYRtXyTIsdT/+R1Au242Ao6TEAgMIhabPSOi1wvdX6VgGBn4df0mJwews5OEbbdux5ZMZvHXX59hWTYePJjD8HCsIxOnp5TsletO79eLjuCnYIJ9lqXBsjRkMlvI5/dhWXnk8/tIp9ehqskzz2IkEsHTp0+RSCTwxx9/1PXMXUYYhoG1tTW8ffsWjx8/vpTBTDEGBgawvLyMSCSCFy9eYGNjo6UdhF52pl6UC2gYgVbzVe6gWVDqVFzvisUFGc8mgm+hLbsc2BzHFILbhbozNLatwbY1nDK7GdGR50VwnAxF6StkH0rBW8DD4eqsZ0op0umNiryLEu9CNruLaHT6TNqPLRrtzsgAAIEgKGV3HuFwGLlcDo7j9JRsuCD4p54qCDxGRvqwvZ3E9HRz7r35vI5Pn/YgCDyWlqahKJ3klVBwnOjaQ+zBsvKo777eLvy9+P9PCYcpBIMjkCT2bAmCgAcPHmB/fx9//fUXFEXB/Px8x8Xi2ol8Po9Pnz4hkUjg2rVrePLkSU89Z82AEIKZmRmMj4/j/fv3WFlZwe3bt5t2xD44OIAsy4jF6ue5VbaVoe4z0X1gXkRf3Sw/B56XIAgB8LwMQZBBiIDDw0P8+OOPhfcEg4NIp3O+W+l0K9Jp5t3Uzo1jEyWnYhEzZuJn2wYotRAOl+/aGR4exr///ou5ubmqZ2BkK67uG4JSG6p6hGDwdBd2dhfcTrCdh66fQFEuLiSEEMTjcaRSqZ7qsuB5CZIU8S1TMzHRjz///IyxsXgDOjCAZdn48uUQ6XQec3MjbdNBqAy2kJ4aa9Z73Sq9nv0un9+HbetulxUpiLKNjo4ikUjg3bt3sG0b8/PzGBoa6tn0fjWk02l8+PAB+Xwe169fx507dy7tZ60GURSxtLSEbDaL1dVVrK+vY2lpCcFg/erklFK8e/cO33//fUPvrcaTqSfj306o6mFRdskp2tgzLRlKeViWdYaPRQiHUGjU1egq9+xyABwQwoIkRq1oZG7oPrRLHbgYLefQWJZWkSMTCoWgaRps23Z79StDkmINEHcvuj2XMkpsHyg0LQFBUEoaTXpZq14KaAAgEBhwA5rWg+M4TEwMYGvrCHNztXdRUEqxt3eM7e0EJicHMDc30kULGYVpZn2esDxRPx2h0OiZLOXAwAAGBgaQTqfx8eNHvH37FtevX8fY2NilyFpQSpFIJPDx40dQSnHjxg0MDAx00fffWYTDYTx69AgHBwf4/fffMTIygvn5+bqMN3d3dxGNRhtWBWYb1PJBDesIrJ9j6Sd0PVNh48Y+SyKRRDQqwrLUM9lrQQhAlmNFgq3UDV5k8HwAgiCD5+VCswDjx2VdnZrWKZ93AqlUFhMT7V3TfCEF27YBQShfdurv70cymcTQUHWykCRFXO2SekAQCJxNq5bi1bQXFLncDiKRmQvtiUNDQ/j06VOHxtU4COERCAz6puEzOtqHP//8DF3vr0k2+/g4h8+f99HXF8T9+7OuE3Y3gSKfbwdfiqXuM5lNhEITBYkCD9FoFN9//z1UVcWnT5/w/v17XLt2DVNTU21zlW4lKKXY3d3Fp0+fEAwGsbi42FA55FvB8PAwBgcHsbGxgZWVFdy4cQMTExNVgwjHcfD+/Xs8fvy4ofMyDZcIDKNS9x0BpY6rKN552LZRk+BqKpXF0FAM2ewOFKUfstxXuJ6KMgCOE8Fxohu8lP9shBBIUgSiGIKmJdwOx94LakzTAkAayq43Ax+2ZdXroPUQYTmOr5uvIUmRM90kjDTc+d5/Sp2SxoWiKIIQ0pPy9ZIUrdiK3AwIIZieHsLmZmWFaU0z8ObNFr5+TWBxcQJzc6NdGMx4aN+uy3EsZDKbMM3Sz2MgEMCdO3fw7NkzmKaJlZUVvHv3rmfuQ9u2sbGxgf/7v/9DIpHADz/8gB9++OEqmKkBHMdhbm4OT58+RTKZxMuXL6sqTW9tbWF4eBiK0riCtiRVI8qSCsTh9oJSp0q56BTptIpoNACWjU+68zzL3hBCIMsxiGKwZq0dQjgEAkOIRKZcTmp9GSuOk+p+TyuRSuUQj7e/zO/LSmSauTOdPOcxODiId+/e1Xy8QGAQmcwWaiP1EijK2TQXKzd1ghB8EV7t9XyQ5llDTEz0lmowIQSBwJBvLYqDgxF8/XoEVTUQCJxtebZtB1tbR0gmM7h2baTt9dreAHP/Pr9rLIYoirh58yauX7+Ora0tvHr1CpFIBPF4HP39/YhGo11RkmKeYVmkUikkk0mkUimMj4/jyZMnXW9X0K2QJAnfffcd0uk0Xr9+jUAggMXFxQtBi23b+Pz5M549e9bU+XheBiGkYsdVd2w+KfL5/Zr4m6qqQ5bFomeEberT6U2Ew+MXNte2bYDjBBDCV82K8byEcHgShpGBph3VWIYiCIfHwTLCh25ncHvXvlQqi7Gx9vuh+VRy0ivWQQVBgCAI0DStpmif52VEo7Ouo6nn2F38BRH3uAHIct+FKNgPvZTGQNzs0cXPPDQ0hC9fvvRcQAOwFkWel12SXGtBCMG1a8PY2DjA4iLzi6GU4vAwjc3NQ4yNxfHgwVxX1dy7D4zDRQhfVqMJYMJ8nm5NOp1GKpXC58+fkU6nIQgC4vF4IchpZpdeK0zTPBO8aJqGcDiMeDyO6elp3L17tyYeXi+BkUJ1OI4J2zbgOKarW+VvwBaNRvHzzz9jb28Pv/76KyYmJjA3N1e4vuvr65icnGxaz6Z62eki/7ETMIy0m9msvm6U8yqi1EImswVFGQClNkwz53ZJnc5VHCeA4ySXUyO53cLSmfmMZXiikKQwVPWoSiMGywZ5WfNweByWpRb57fm/DrKOMBU3b477fq7z8K1gbtt6SQKsB6/sND09XdPxOI5HIDAARYkXLAwopRCEAEQxVIj8S42j8/wZgNUTwwgESneWxONx/O9//+s6QlytCAaH3Sxa6x+YeDyMra0jZLOMcP7p0x5CIQX37l2DKPYe56NT0PVUxYDGAyEEsVgMsVisIPhoGAZSqRRSqRQ2Njag6zrC4TD6+/sRj8cRi8WaCi7YJJgpBC8nJyfgeb4QQM3MzCAQ8E8qoFvgOBay2a8ozig7joVIxH/zR0IIxsbGMDw8jM+fP2NlZQULCwsYGBjA1tYWlpeXW3IeUQy5wqalNZe6oeRUDy8wlcrh+vXRMr+lJZpaTv/uOCYcx4Rl5VAc6IhiGLIcO7OuEcIhGByGLMdgGFk34DWKAhX2Olk+mxkRhAAikWkYRhqalijylOPBcTwIEcDzIhzHrDmIq4R8nmnPdGId82k1YCm3agHNx48faw5oPBDCueWs2tJZ3ZGdIRDFEILB4bJfMiEE4XAYmUwG0Wj1RafbwPMSRDEM0/Sn62lycgCvX39BMCjjxo2xJp2wv004jgXbNhra7UuShJGRkYJvj1f+SSaT2NzcxMnJCQghFYOabDaLly9flhiXA9u2C2Wua9euuYqrnS9ztRun2eXTOcu2NZco257rwfM8bty4gampKaytreH169eYnJxsGWG82gbTtjsf0AhCoCZNHMdxoOvmhXL4WdSuNeXBNJnpLyEcJCkGWT7lKvK8jEDgbNMNE/0zAXAleToej0eSovA6rS6cnVJkszuw7fPitfWhne7a5+Hb9tYwslCU8tL10WgU6XTa14zEacTZSRAIQhDBYPX2YS9r1YsBDcDauGt33q4NjuPg69ckDg9PIMsipqcHr4KZhsEsP853ADYCQggikQgikUjBWsGyLDhO+Zbcly9f4uHDhyWPdWWkycAWGqZNcu43bR+Loii4ffs2Xrx4gaOjI/zzzz+4detW03ylaoKS3VBykuW+mrgnp2RgP8BcvD3RTJ6XXXJx6EJA4rWCV4NnE1Tud+HwGDKZzaa+g1Qqi4WFzlAnfAv5WQ24fCROCEE0GvXVQE/TUuhsdsZTCR6tKWjrVRsEDxwnQJb70IrJl1KKo6M0/vprHQDFgwezuHlzAhsbhxUJhVeojPNOx62EIAiQJKnsD2tJvfj/V8EMg2VpODn57C5WZ3kWnSpDv3//HgsLC3j27Bn6+/vx8uVLfP78uWLgWgmU0qqaYN1AChaEQE0dSe3JRjAisG1ryOcPcHKyjlxuv6D5VvZdlLr8mUOcnGzg5GQdhpGt+B4mBjiBRkMD23ZgmnZNMht+wMccJnUDivIYHh7G/v6+L2d3HNs30bdawW6O2s3WAoEATNOEZXX+gW4UlbrbakUup+Hff7/g6CiDO3emMT09BI7jEArJCAQkJJP+ughfZrAui27glF2hGI5jIZfbKfjSFW/Eatl5+4F8Po9UKlXQqJmcnMTy8jIMw8DKykpDm69a+DHd4LrNMpBTEMUwKm3Qjo9z6OtrZ3syC25MM4Nsdhvp9BdoWrKQUWHrXhrZ7A5OTj4jm92BYZyAUguU2sjn95HNbrvinqXB8yLC4TE0sjE9Ocl1VJXd16IsY3WXb3sbHh7G4WFljZFGcdoN1TlwnFj3zmpgYACJRPcatFUDq/lGGnqvaVr48GEXHz7sYnZ2BLduTVyI9GdmhvDly1WWpnF4TvNX6Cbk8wdFC/nZDk5BqN+ioBV4+/YtFhYWzsxhgiDg1q1bePjwITY3N/Hbb78hm619g1ErBaA7ghoeodAoQqGxC1kzADAMCzzPdVDzioJSC5qWQjr9BScnG0in191Wba+sd36eZJkeZnB7UHZ9FoSA+7kF1BPYJJPttzsohu8ss1PJ54uQZRmO48A0W0cCY/oBh25A09lFrxHBuV4vOwFwiWe1PwSUUmxvJ/C//20gFgvi3r1riERK16UVRUIsFsTBgX+lysuOamnnK7QXXmmgzG/dHXh7PY7S6TRUVS3rSh4MBvHjjz9ifn4ef/75J1ZXV2uax2szZCVd5ekkikFEo9cuZGtSqWxHxOMuggUup6W6Wp5ttrFJpzegaccl5wP2uWfczlwetczpJyd5xGKdCcCBhgKaejIOFIZR+mJ5GBwcxNFRvdYGZc7mKjuWbwlsL5haY33o9QwN4Iln1XZrpVJZ/PXXZ5imjQcP5jA8HKua1ZqeHsTWVqLhOv4VKi2gV2g3TkuApKTCK9MwaW+ZdW1tDYuLi1WfxYGBASwvLyMcDuPFixf48uVL2fm+Fv4MA+k6h2pGHxhxsxZsce9kN0/rwNrKmYjgxe/N08CJRq+5grXl7wdNMyGKPHi+c92Jvp+ZUnqGy8JqxfvIZneRze4iEuGxvb2BbHYXudy+qzGj1Z1yNM080ukvbstZ54MZNjnVn6HheR6yLCOf73R3VuPw/EgqQVV1vH69id3dFG7fnsK1a8M1PwiiKGBwMILd3c6XFXsTV2WnboLXTSNJEVfq/vxGqHxnih9IJpMAmOdeLSCEYGZmBs+ePUM2m8XKykrJTRnjz9Q2N3cDMbgUvKyFKIaRy2kIhy9DxyWFaebcsmfp74cQAkXpc7PvpcEyVp0N8OpecSUpWsVc7DxoQdDLNPPI5/fOBCuhEMHxcdrtuSdFOxHqCv7IBZdqnpcumJY5jtkxeefKaCygAVjZaW9vD3Nzcy0eU/sgihG33Hj2O7EsG5ubhzg+zmNubqRhQt3k5AD+/nsdo6PNCbr1KggRwHF8w87dpplrq7bJFSqBQFEGoSh9AIBAYNgV1wO8ckK7upwopVhbW8Pdu3frfq8oilhaWkI2m8Xq6irW19extLRUEESsfZNKu6rkdB6EcNB1EX19/e7z003rTqPwXL5JWfFXgAV0LEFx8btMJrO4dq264bSfqHvFZSqFJ2ALtlhT1M2yMnswzdyF13IcB0URoaoGgkH5zO8ptWBZlquiyLQZCOFdiegAAKfkotkdoA0HNNPT03jx4gVmZmZ6drE+nzKmlGJ//xhfvyYwMTGA2dnqujyVIAg8pqYG8fbtDm7fnuxJdeVmwHZM/eA4AYaRKXLlrV3Ei6l5X3713W6HF8h4EAQZ4fCEqwJrw3HsiiKlrcSHDx8QjUab0sIKh8N49OgRDg4O8Ntvv2F0dBTz8/PgOBG18ju6OaABgHfv3rmeV7RLxFtbAVZNYcaYpbWq2HxxMZihlEJVdXcN7xzqXnF5XkIkMg2OE5HP77neFNVASwYzHvr7w0ilslUuBruIlNqwLNXNyHSH4WRpNB7QiKKIqakprK+vY35+vsXjag9YrZx9NycneXz+vIdoNIj792db1hUwMtKHXE7H+voB5uZGWnLMXoHjmMjl9gAAgqAgEGD1bcNIu5yMSs8FgSz3lfQUu0J3gAUw7f1+tre3kUwm8dNPP7XkeMPDwxgcHMT6+jpWVlZw8+ZNBINALXuPbhDXK4fDw0OIooi+vj5QyjIbl0cKgbpJAuLOKWdBCFeUyDhFOq0iEgl0fGPZUL6Z5yVQ6tSpwlt+go3Hww1qi3RrMAMwr4zG0/mz/5+98+5qG/u+/laz3LsNxmBMCT2QOqnk99qfJJPMfDMphGIgphtMc++Spfv8IZtAaDa4yKDPWqzJEJcbW7r33HPP2XtgADs7Ow3tAGslklRAsSgiFIpgZ+cYo6N+DA11N7zFcWDAi0JBwP7+1ZpHdxMlI1MuF1AoHKNUSsJi6YXVGoBe77yw5ZKiaJjNPTAYXG2ffDTUQzweRzgcxtOnTxtqOUHTNIaGhvD69euK2vAWMpnrC9LVWkNDCMHy8jLGxsYAKJlSk6kb7VBybh4EpVLyUh25i2QEEon2tmtXufGV20jROoNBB0G4Wja90/iz1qdeGIbBwMAAwuFwg0bUOsrlMtbWtrG4uI2uLjumpgJNS0VSFIWxMT+i0QSSyVxT3qMzIBWTuwJomoNe74TNFoTF0gudzgaKoismdf3aMZPGGfL5PObm5vD8+fOmqTbzPI+ZmRmMjgaxsXGAlZVdCMLlQYsklVQpLbC/vw+r1Qqz+ffiTdNc5YjmbgU1xWIcxeL5xguet53brCcSOdjtHRrQEEIarvNitRqRSt2VVtLru3xqIRAI4ODgAMViLa2O7UfRk9nFhw8fwDAMHj8ebEnUzjA0Jib6EA7vI5+/K6nfm3BenZtheBiNHthsgzCb/TXJuWvcH0RRxJcvXzAzMwOjsfn6ITabHQ8f9sPlsmB+fgs7O8cXbmTVqGhNCMHKygpGRkbO/Z1OZ21ZnVPrUFq6/9SSU8pO+k5KKkRRqXfiuPbPLTcKaJToubFFWw6HUkdzF6Ao5kpjzlqhaRoPHjzA6upqA0bVXJLJJD59+oTj42P89dcj9Pa6QNOt27HwPIexMT9CoQhEUZ3p6lZQLhfOyJqXy0Xk88eq3O1qtBdZlvH161cMDw/X3KJ9W5ROVRputxWPHw+AEILv3zdwfPynxxhpu3XNn+zs7MDj8Zx0bZ2GoigYjd1ogRJKiyGV4+yzMg80zcFs7gPD8EgmcyoRGLzhp98MFV6Hw3hHjgwomEy36+A5TU9PD5LJJHI5dX42xWIRP378wNLSEh4+fIiZmRnQtIx21DeZzXoEg14sLUXu1PFlfShZGlHMIZ3eRja7C0Fov2q2hvpYWFiAw+GA3986Z2Sl06n6ZxqBgAdTUwEcH6cxP7+NXO53NloUm2ekWi+SJGFtbQ0PHjy49DE0zcBo9OJuHT0BSlBzdC7ApCgaFMUgHs+0XX+mSt0BjaJa2fjFlWEUhUFB6Mwi2CocZ25ojYJSIzKG5eXlhr1mI5BlGeFwGP/88w+8Xi9evXp10urZThVal8sCl8uC1dWoaibDViOKGeRy1Q5E5TPQ9GY0TrO+vo5yuXzh8UkzYZjzrdvV7Gow6MGvX1GEw1GIonSNJURr2dzchN/vh053tfq7TmcGx5lwF4OafP4QgvD7FKVUSkEU88hkCrBa1VGXV/csVyo1Lw3ocJgQj6szE1ELV/Xv3waPx4NisYh0uv3qroQQ7O/v4/3795BlGbOzs+jp+e0oLstS28++/X4nGIbCzk5jLDU6k9+LhhbMaJzm4OAA0WgUMzMzLe90u8oTyGr97eM2N7eJ3d0YisX2e7aJoojt7e2ahU6NRu8dvecI8vkDiGIOkiRULBOKMBh41XRM1v2pK6J6zdn5dnIdjdIO29uUokuKojA+Po5QKNTw166HTCaDf/75B3t7e3jx4gVGRkZOhP+UQvEU0ulNtPt4g6IoDA/7kEzmcXTU/gmx3dzNyVXjJqTTaYRCITx79qxtop1X6XNRFIWuLjsePw5CEER8+TLfdrPe9fV1BINBsGxtumLKWuAHx1nQatuK5kOQy+0jm90FQNrurv0ndSu/NVPwyGzWI5crgpDWSX03AppmK8HMzYT0aqFatBePx1tWwFdFEASsrKwglUphcnISDofjzN8rhaeHdXm1NBuKojAx0YufPzfB8zrVpERbDwWdznblIwghkCQBNM009RrWaC/FYhHfvn3D06dPwfPtU3RlGP6cMNv5xzAYGOiCzydiY2MNm5ubmJychMnU2uLTUqmEaDSKd+/e1fU8htHBZOoCIR4IQqYividUmmmqa1sj5krq5P1uaoNSP+SkKSiRyGJkpHU1WNdxg9mreR+YIlKkRzZbhMXSrgWoPvVhhuFhMvW0pB12fHwc8/PzeP36dUsCPlmWsbW1hc3NTQwPD2Nqaurc+yoO50q0rjZYlsHERB8WFnYwNdUHvb5+9/POhgLLGsHzv6X1q+2w5XIJklSEJBUrmxRlJ2kydYPjmt++q9FaJEnCly9fMDk5CYvl9pISt4Fh+Jrdw/V6DpOT/SgWdfj69SvcbjcePHjQNL2cP/n161fFtuFmWU6KosHzNvC8sqlQ7j+h8lOEJJVOdSVeNodSYFnDmXoixd/QCJY1gGGUI59yudjSuViSZIiiBL2+Nd9FLahuO+Z0KqrB7QhoaJqD0diFfP6gMslfLR/PsgaYTN0tS+lbrVYYDAYcHh6iq6u5Uv9HR0dYWlqC1+vF7OzspelWtRTtXYZer8ODBz4sLUUwPd3fcKViNUPTDEymLpTLBZRKyVNyCxcF7YrqcC6/f9GjAAAgAElEQVQXhV7vBM/bOypLqnE5hBB8+/YNgUAAHk97zQMBJaCpevPVQrlcgMvVjdnZWWxtbeHjx48YGhpCX19fU6/RfD6PWCyGycnJhr2mInCpr2jW/PbLUqxMDi6wLaHA8zYYDG4QIkOWy6Bp7sJ/N8vqYTb3IJvdQyuCmlQqD5tNXZsf1R2ut7OORol49bBYAuB5By4/+6TAcRaYTL6W1yeMjY1hZWWlaR08uVwO//vf/7C5uYlnz55hfHz8yrNjpZVPfdmZ09hsRvT2uhAKRe5V5xPLGpFObyGXi6Jczp/SjrrqM1AUQvP5/TrckTXUzPLyMoxGI/r7+9s9FADK8Ui9c4ZimkghGAzi7du3SKfT+PjxI+LxeHMGCcWAcmxsrCWBvaLr4odef3bdoWkWer3iqURRdEXH5/LxsKyhoofT/DGrrX4GUGFAo9OxkGWCcrnVbqvUSaqdoigYDE5YLH2V3QR15nE874DReLnFejMxGo1wOBzY3d1t6OuKooilpSV8/foVg4ODeP78+bXn1YoxW2d0pXm9NlitBqyt7bd7KC1DEDKVIKbeII5AFPMQhPZ31Wncju3tbWQyGUxMTLR7KCfUbwtDzlyLHMdhamoKjx49wurqKr5+/YpCobGZ4kwmg3w+D6/X29DXvQqKoqDXO2E291Q2ylRl01zfOsNxxoYo1V9HKpWDzaYOQb0qqgtoAMBuN7VBZI+c049hGB3M5t5TPh0UDAY3DAZnW9PxIyMjCIfDDRGPI4Rge3sbHz9+hNFoxOzsLNzu2lrPJakzLBmqBAIeiKKE3d3m7erUxW2yUfcnk3VXOT4+xtbWFp48eaKq40OKos4I7NWCJAnnGlIsFgtevnyJ3t5e/Pvvv1hZWYEkNWYjHAqFWpad+ZOq55rZ3FvJZtWG0mmaRjq91XSV5WJRBMcp2nFqQl2jqeB0tv7YiaZ1Fx4fUZRyhmm19sNs9p8Ud7UTnufR3d2Nra2tW71OPB7Hx48fkU6n8fbtWwSDwZpvYEJIxbiscxY+iqIwOtqDo6MU4nF1yaqrj7vWbnq/yGazmJ+fx7Nnz2puN24lSua7HhS12ovo6urCu3fvwLIsPnz4gL29vVsdLScSCciyDJfLdePXuC00zYBla/uMTktmFApHFafy5s7LiURWNerAp1FlQGO1GpBKFVpa76CoO14OTbOqMh8bGhrC5uYmyuX62+gLhQK+fv2K1dVVPHr0CFNTU3V3DZRKSZTL+brfu93QNI3JyT5sbByekVnXuAgtoOlEBEHAf//9hydPnlzoO6QGlLm0vutLOQa9eCNC0zSGhobw6tUrHB0d4dOnT0ilbqZBFQqFMD4+fqPnthJCZBSLSaTTGygUjm94vHwz1Fg/A6iwywlQLk69nkOhIMBobIVeAtVxraocxyEQCGBjY+NKf5HTSJKEcDiMaDSK8fHxG3dKCUIOxWIcnZSdOQ3HsRgf70UoFMHDh/3Q6VR5G7QdNR1TaNSGLMv48uULxsbGYLO1P5t8GTfbHCry+yxruFQvied5zMzMIJVKYWFhASaTCePj4zXr7hweHoLneVV/doTIKJWSpzLkrZ2HCSEoFEotWpvrQ5UZGqD13U4Mo57sS60Eg0FEIhEIgnDl4wgh2Nvbw4cPH8CyLN69e3fjYEaSBOTz++jUYKaK0chjcLALi4s7kCStm+cs1El76X1A2flnUS4XIctSx3bCEUIwNzeH7u5udHd3t3s4V8IwPKzWAHQ6K+rL1ChKtdd9RzabDa9fv4bX68Xnz5+xtrZ2bc0hIeSks0mNyLKEQiGGVGoDxWICStt766/VdLoAi8Wgyg2ParemTqcZ4XAUfn/zzzGva4VTKwzDYHBwEOFw+NIuhtM7lVevXt1KIVSWpZZpHLQCh8OMYlHAysouxsd7O/IaaDwUdDoLDAb3vbFMUFrUCZSFVVn0KIoFyxrA87YT4TK1Ew6HQdN0zZ5D7UbR/fJCr3eiVEqiVKrNVkeSSiiVUtDr7Vc+jqIo9PT0oKurC+FwGO/fv78yMx2NRmGz2VquRnwdsiyhVEpUPh+g3fOvWutnABVnaAwGHUqlckM6ea7juvoZNdPX14fDw0MUi2frQUqlEubm5rCwsHDS4nibYIYQRXRNKTi7O/h8ThgMOoRCkTZIBagJChTFwGzuucPmegqEyCcaO4SQyp8JTgu9EVKGKGaQze5Wii3jkKSr5frbBSEEoVAI8XgcDx8+7Ijg6zQ0zcJgcEOvd6K2bA1BsRg7pbB7NQzDYHR0FC9evEAkEsE///yDTOZsLY4sy1hdXW25+/hVyHIZ+fwh0ulNlErtOV66iEQiB4dDnWumqmctm00pDm4uijx8p0LTNEZGRrCysgJAuTHX1tbw+fNneDwevH79uiHnwYXCUdtdtJvFwEAXXC4L5uY2kc3ex0JhJStjtfafky64a8iyiHR6E6nUBvL5w4r0wFWLqOJbUyrFkclsqe4eKBaL+Pz5MyiKwl9//XVjiX41wHH17PprO3o6jcFgwNOnTzEyMoIfP35gYWEBoqgEqTs7O/B6vdDr23/MKstl5HIHlfbrNNQQxFQRRaXwmOPUebijzlFVqNbRNDsa7LQdzZ/4fD6sra1ha2sLGxsb8Pl8mJ2dbZibbqmU6ghF4NvQ1WWHxWLA8vIuenoc6O52XP+kjkeplTGZuu98IAMoqftMZvckOyMI6cqCUev9T0OWJbTJpPocx8fHmJ+fx+TkZEsF4JoFw3CgafZa48oqsiyiWIzDYKivLMHpdOLt27fY2dnBx48f0d/fj62tLbx9+/Ymw24YSvt1UtUNF8mkeo+bAJVnaBwOE+LxDGS5+uU2I/CgIMudfdSQzWZPCtpevHiB0dHRhgUz5XIBhcIx1HqDNRKjkcfMTBDJZA4rK7t3vFj4/mRlgKqJauSSI9Nar211pPwJIfj16xeWl5fx8uXLOxHMVOG4ehRuSUU+ov6sGUVRCAQCePv2LaLRKERRvHGbdyMol4vIZLZVHcwAwP5+Em639foHtgkVBzQUGIZFd7cHR0cCrNYBmM09aHxQQ9CpnjWiKGJhYQE/fvzA1NQUzGbztR1P9SDLIrLZKNR8gzUahqExOuqH1WrE3Nwm8nl1HTE0BgpGo/fO18pUIYQgm92reed/Oe3P5AqCgP/9738QBAGvX79Wrc7MTdHpzKi/6yl6q840QRDw8uVLrK+v48uXL8jnW6evJcsScrkDZLO7letTvXNtMpkDw9Awm9t/LHcZqpzNGIaHyeSDzTaIsbEZ7O0dQpLkSteBHY2eWH6b9nUGhBBsbm7i48ePsFqtePv2LZxOJ8bHxxEKhRr2Hkow05nB3m2gKAo+nwMjIz0IhSI4PGzfzu12UBf+8LytJV4vaiGfP1Bd7ctNSCQS+PTpEwKBACYnJzu6XuYylI7T+rLLSo1T8kbvFw6HMTAwAKvVir/++gvBYBBfvnxBKBS6kWhpPciyiExmG6Ko/uN8Zc05RDCo7mygCu8ICiZTNzjOCIqiwLIsBgYGsLa2BgDQ6511+VtcD+moI6fj42N8+PAB+Xweb9++RSAQOKkBcjgcYBgGsVjs1u9TKBw1YEfb2ZjNeszMBHF8nMavX9GWdNw1HgKdzlzJyHhgNHaduPfeF2i6UUUvpC0aNYQQrK+vY2FhAc+fP4fP52v5GFpJ/cG24hD/p9fTdRSLRRwcHCAQCJz8zuPxYHZ2Fnq9Hh8+fMDOzk5TvnMlmIl0zGY6FsvCaORVKaZ3GpUFNBR43n7OuCwQCGB/fx+lUgkUpTiQNjJL0wkXVT6fx5cvX7C+vo6nT59iYmLiQruCsbExhEKhW92EpVLmzhcB1wrLMhgf74XBoMPc3BaKxcYd6TUf5fsThCxEMQudzgqdztzxRfD1ote7byS1rwZEUcR///2HTCaD169fq04jpRnUf+wEKF5Px3U949evX3jw4MG5TBdN0xgYGMCbN2+QTCbx8eNHJBKJOsdzObJc7qhgRjEwPkR/v6fdQ7kWVXU5URQNvf58dwlN0xgeHsbq6mpFZ4EBRTEN00RR84VVLpfx69cvHB4eYmJiAh7P1ReVxWKByWTCwcHBjdRCJUlAoXAILZj5DUVR6O11wWo1YHFxB/39XrjdnXVkw7J3fyG8CFkuo1RKg+ftkOXjW2QdqYphYOvqB1KpFL5//47h4WH09va27H3bTdUouN55WRRzKJeLNX1H+XweiUQCU1NTlz5Gp9Ph4cOHSKfTWFxcBM/zGB8fv1XdUqcFMwBweJiCzWYCz9fn99cOVJShoWAweC4tUvT7/UgkEsjn8ygW4w28IChVOGj/CSEEOzs7+PDhA/R6PWZnZ68NZqqMjY1hZWWl7iyN0glyd5SAG43VasT0dD+i0TjW1/dPdd+pG5bV36uaGaAqBLmPdHoLpVIcudw+dDrrqfmlngwABY4zwWIJXOoh1EgIIdja2sKPHz/w9OnTexXMAMoG4uz1WqvzO0E+f1DTvLe8vIyxsbGaspVWqxUvX75ET08P/v33X6yurkKS6l9/fgcznSNOKssyIpEYAgF3u4dSE6oJaBiGv1Kxl6IojI6OIhRaOqWaeFsocJxZdW2riUQCHz9+RDKZxJs3bzAwMFBXAaDBYIDL5UIkEqn5OYRUJ4PO2Tm0A45jMTUVAMsy+PlzE6WS2uuMKBiNXXf+mEmWy2eyL7IsQBRz+D1PKHUWLGuCXu+GxdIHs9mP6xdKZaNlMnW3pCOsXC7j+/fviMViePPmDSyW+xWIVqm2b1MUDYOh9sVUlssVbaHLSafTKBQKNW8QlXFQ6O7uxrt370DTND58+IC9vb2aN42KbUxnBTMAEI0m4HZbVSuk9ycqCWioSgvp1ZOLx+NBNptCLtcY9WCKomA0qudcsFAo4Nu3b1heXsbMzAwePnwIne5mBdAjIyM1GbJVEcUcRDEPLTtzPYqGhQfBoBfz89stNVGtD+W+akVWoZ0ognk7yGZ/LzAXd8oQiKJST6Q0HBjAMNUix2oWgEY1yKFpFhZLH3i+NbobmUwGf//9N1wuF548eQKWvdvf21UwjA4mkw9WaxA8b6tDRVippbmq0SMUCmF8fPxGQX61/OHly5c4PDzEp0+frtWvqQYz9RYttxtJkhCNJtDb62z3UGrmlncMhUYsgBxnqqlzSRQzCAa92Ng4xNRU4NrHXw0Fg0EdOhySJGFtbQ17e3sYGxtDV9ftd9Q6nQ4+nw+bm5vXmtUpdvBH0IKZ+rDbTZie7kcoFEEqlUd/v0dVmRCOM975oyblmHQXhEggRIYgZMDz1kpAc9H1TCBJRaTT2+B5O4xGD0SxAJqmT2rzKIqpZETpln2fkUgE4XAYjx8/bohVSadDUdSZjD3PWyGKWdQ2RyleT0bj+RbjeDwOQFELvg16vR6PHj1CMpnEwsICzGYzxsbGzvnl/Q5m1J7JPU8kEofP52iYSGsruOFqTp3rRLo5VE3Rt2KdfgybTTkeSqdvJ36kTPbtlXAmhGBvbw8fPnwATdOYnZ1Fd3d3wybRoaEhbG1tXaunUCqlOlZcsN3odCymp/tBCDA/vw1BUMcuTEnVq1sz4rZUDVN/LxYExeIxJEk85Ux86bNRKiWRze6BplnodFZwnAksqwfDcJXApvnBjCRJmJubQzQaxZs3b7Rg5hIYRl/X5lMQMue0h6omnuPj4w0bl91ux+vXr+F2u/Hp06czWXFFy2u3I4MZUSzj+DgNn6+zLGBuFNBQFFPJqDRiR09qqmE53XkzMKBkaW7emtz+yT6dTuPz5884ODjAy5cvMTw83PBImGVZ9Pf3Y319/dLHyHIZxWIMWnbm5lAUhYEBL3p7nfj5cwupVK7dI4LB4G2g/or6UGq+DlEuF3H62iWEIJPZqlzT174KCJGQzx8gk9ltuZt2LpfDp0+fYLFY8OzZswtlGDQUzhcKX4dSFH46qDk6OoLBYIDV2tgjRIqi4Pf7MTs7C1EU8f79exweHoKiKFVlbOthe/sYvb2ujhNvvMGREwWTqQu53H5DBkDT3LUTryjmK/UdCiaTHjzPIpHIwemsN8ui1M20a7IvlUpYXl5GJpPB1NQU7HZ7U9+vv78fHz58QF9fHwwGAwiRUC4XT2pmOq1ITc04nRYYjXosL0fgclnQ2+tqy4SmhuxjsymVkpccQZA//lsLBJJUQCazDZ63Qa93Nv0oOhqNYmVlBTMzM3A4OmsX3C50Omsl81ZrIa4iXsdxZuh0DoRCITx//rxp42NZFmNjY+jv78fi4iLW19cxPj4KQKh5zGqgVBKRSuUxONjV7qHUTd0BDceZQNO6hnXDXNXZBChn5Pn8Af68IPr7vQiFInA4THUtGiyrr9OmvjHIsoyNjQ1sb29jZGQE09PTLVnsaJrC+PgD/PvvZ8zMBEFRMhpV+6RxHr2ew/R0EBsbB1hc3MHoaE+LOwSotmcfW4EkNWORICfO8kZjFzjO2ODXV+aBUCiEbDaL169f37jo/z7CMDrQNFNncS2BIKTx82cIPp+3Jd5XBoMBz549QywWw9zcPKxWA3p7bWDZzsh2bG4eIhBQVz1grdT9CRsMHkhSEY1R3aTAsldPGormzPn6DoNBB4vFgKOjq1v0/ny/drSwHh4e4v379xBFEbOzs/D7/U0fQ6mUQjq9jVRqHTxfRHe3FUtLm5VjOi2YaSY0TWFoqBvd3XbMzW1hfX2/Re3dSovxXT5qqqJoRzXjHlLMasvlxnRSVhFFEWtra/h//+//ged5/PXXX1owcwN0uvq/9+3tI3AcA6+XRzq9dSbb30xcLhdmZ2fhcHjw48cGotEkABo0zYFheLCsARxngk5nhVpUrPP5EgoFAS5XZ2Z469460jSDUqmAVtTPSFLpyhRjf78H8/NbcLutoOla9CTcLW1hzWazWFxcBMMw+Ouvv2A0Nn7HdxG/u5ZOfoPubjsKhRI2Ng4wOFi/grBG/bjdVrhcFhwdpbG4uAOTiUdfn7tpfigMw9/5rqYqDMPfYLdeGxRFXahYfhOKxSI2Njawv7+PQCCAt2/farUyt0Cns6BYjNf8+MPDFDKZIiYn+6AEq2XkclGwrAF6vQOEyH/8lCHLUuXPv/9LUQys1v66x0tRFPr7g+jp8WN1dRU/f0YwOTkJl8v1x+Pouo7TmkXVgLITszPADdu2GxXhMgx/5Qd3nZ+QTsfC6TTj4CABn+/6NrxWdfKIoojV1VXEYrELL95moxwHnj9WCgaVY7poNNFx1eudCkVR8Hpt8HisSCRy+PUrCoah0dfnhs3WyAD3fgjoVVGKRO1NKGhvjJxDNpvF2toakskkBgYG8H//938dV2CpRmiaBcPoanJPT6XyiERimJ7u/+O+ICiX88hm/8zCNS+Y4DgOk5OTJ5vc9fV1TE5Onmxy9XpHDZ15zSWTKUCSZNjtnWuTUndAQwiBLDfCoI+qpNouR1H6vJq+Pjd+/NiA12sHw1w1YShtmjxvb9qkr5h4bWN9fR2Dg4OYmJhoywKj1BecR1Fb9uPnzy3o9Rwcjs5MK3YiFEXB6TTD6TQjkylgZ+cYGxsH6Otzw+m8rWEkVXGhv187f2W3fntn+dNcplguinkwDHetXEUikUA4HIYgCBgaGmpZrdx9Qq93IZeL4qoApFAQ8OtX9ETV+2JqD2BoujHHg2azGS9evMDh4SG+fPmCrq4uDA8Pg2VZ6PXOSvapPVmajY1DDA52dv1d3QGNEhnfvqiUprkrAxpC5Jr691mWQVeXHXt7cfT1XS2RTYgMSSo2xeogFothcXERLper7Wll5XO7+PthGBqTk32Yn9/C+Dinejv4u4jFYsDERB8KhRIikRi2tg7R0+OC12u98S6+VWq2akIxizSgXG5UTcTFiuWCkEM+HwVNc7BYAuf+nhCCo6Mj/Pr1CxzHYXh4+NbCbRqXw3FGWK39yOWiFxaHl8sSQqEIRkZ6oNc3Yh6mwPON7Ub1er1wu93Y3NzEhw8f8ODBA/T09KBUSrbFfiaRyIJlaZjN6rIBqpe6AxqlWO62EaTS+n3VzkV5n9oCp54eJ75/X4fP57giGgeqXQyNDGjy+TyWlpYgSRKePHkCs7n9WQ+WNYKmuUp9wfnPT6djMTbmRygUwfR0f8f4dNw1DAYeDx70QBDK2N2N4du3dXR12Wu4js/CsvpLpP7vPjxvb9icxPO2c4rl5XIB+bwiUVHVbKp6C8myjL29PaytrcFms2F6evreei+1GppmYTb3oliMnak9IYRgaSmCvj43rNZGzPNK7WUzZBBomsbg4CB6e3uxvLyMzc1NjIwEodPJaGWWhhCCzc0jjI31tOw9m8UNAprb7oaUgrvfHipXvU9tXyrD0PD7XdjZOcbAwNW986KYAyHyrc/Iy+UywuEw9vf3MTExAa9XPak6hlF2koKQRqFwXPnt2c/SZNJjYMCLxcUdTE/3a+f7bUSnYzEw0IVAwI1oNIkfPzbgclng97ug0113i1KVzo/7CcsaQFF0Q3a1f250JKn0h/u8siGiKB67u4fY3t6G1+vFixcvoNfrb/3+GvVBUUqwwbJG5HJRECIjHI7CbjfC42lExlIJcpWOuuah0+kwPT2NdDqNhYUFMIyEgQE3dLrWZPljsQxMJh4GQ+dn6+texcrl64uxLoeCXu+CXn99OrbewuPubjvi8SwE4fpjKqXY+GYQQhCJRPDhwwfodDq8e/dOVcFMFYpSbsarzDedTgs8HitWV2t3jdVoHgzDoLfXhSdPhmA08lhY2Mbq6h7y+avvuWbopXQKSkeSE7dveyVnCk0V2frTwQwgCGVsbh7g48e/USjE8OTJCB48CLRs4dG4GI4zgqZZ7O7GIcvk2tKD2lC8pPT6xjd0EKKYpJZKKRSLCRQKR8jl9kHTGUxN+eF2WzA/v43t7eOazYVvM5atrSP096vHpPk23OCs4aYLn9KFUUvqrtb6mTOvTlEIBNzY2jrGgwe+S8dwG6pGZFarFW/evOkIHYnrHLT9fhfC4Si2t4/vzEXd6dA0ha4uO7xeG+LxLH79ioJlmQvT6BxnUoXBajvR6awol/O3dos/vVmrSu2XSqmTWqd0Og+/34knTwZB0zQIKSCfL0Cnu3rjoNF8jo6SiMUyePjwfI3TTWAYvmldg7IsVJT2Ly6pcLnMcDiMiETi+P59A/39HrhclqaM5eAgCYfDDJ6/G0F5S4onKIqGydQDlq0tLUuI/EcNSPWLrF4AF09abrcVkUgMhYIAg0F36jlURf7aXElR13dhFItFhEIhFAoFTE9PN9wLpJnUIhA2NNSNhYVtHB6m4PXe3+MLtUFRFFwuC1wuC9LpPHZ2jlAuy+jrc8HhMIOi6Gs7Be8DFKVsltLp7VtZecjy2UxYqcRieTmKYrGA3l4XhocvMo6t12NIo9GkUilsbu437OicpjmYzT1N605T6t2urg+laRqBgBvd3TZsbBxiby+OoaFumEyNO9qUZRmRSBwzM8GGvWa7aXpAQ1EsLBZ/Xe7cNM2eiBgRQv4QPJIq/y1DlsWT3yln6DL6+73Y3DzExEQAHGeBTmeuOLXWf3FKkoT19XXs7u5idHS0oU7YjYAQGYKQQamUBE2zMJnO3oSyXK6ptoCiKIyP9560c1ut9/cIQ61YrUZMTgaQzyvZgs3NI/j9LgwPB9s9NFVAUTTMZh8ymQhumqWR5TJkWcbx8THC4TAYhsHw8Bh4vnCp7gnD6GreqGk0nmKxiG/fvmF8vLeO5obLgwmKYmA2+5ua9VQCmtquUZ2Ow+ioH5lMAb9+RWEy6REMehrSyLG3l4DXawXH3Z2GgiYGNBQYRgeTqedWUuyKYykDgMF1ZtSEEFitEqLRfwC4YDTeLNtACMH+/j5WVlbQ09OD2dnZhjth34ZyuXTKnA8ASKUD4xgGg+fU46oWFdffPCzLYGKiFwsLO5ia6oNer/7jtPuI0chjZKQHpZKI/f0s3r9/j97eXrjdbthstntd3M0wPAwGd6UQvvagRnHuFpBO5zE39x4WixVTU1MnmVglSLoI6qTjSaP1lMtlfPnyBQ8fPoTVyiOfPwJwVc2Jkq1XOuPylSCVnPl7s9nfdDV5ZdNZn/SJxWLAzEwQh4cpzM1tweezo6fHeeMNdrksYX8/gcePB2/0fLXSpG+OAscZYTS2NqOhBD8sxscnsLy8jBcvXtT9Gul0GouLi+B5Hi9fvlRV94IklZDLHVyiM0NQKqVB03rwvKXy+OIFj7scvV6HkREflpaUdu56Woc1WgvP6zA5+RCEMNjb28Pm5iZSqRRYloXD4Tj5aYUZn5rgedu19TSiKCGTySOdLiCdLkAQRBiNPCwWIx49moTNdrYe5rJ6PprmmqJppXE9hBB8+/YN/f39cLuVoJJljcjnDy5o41fWIL3eURFWpQE4US6XUCzGTo7lzeaec237zeImth0UpdTWud1W7Owc4/v3DQwMeG8kkBqJxNDT47xGjLbzaEJAo3TX6PWuth3POJ1K5BqLxWq2HRAEAcvLy0in05icnITDoS5rgFIpXfFnuipAISgWYycBjZKhqQ+r1Yi+PhdCoQimphpTYKfReCiKPrEO6e/vR3+/ckQrCAKSySTi8Ti2trZQLBZhNpvhdDrhcDhgs9lUlW1sBqfraQghyOVKSKfzyGQKyGaLYBgaFosBVqsRPp/jTEGkTnd+glcsU/7cUWvZmXaytLQEs9mMQCBw8juaZmA290AQMpVsjfJ9Ka3XjnMnBSzLw2zugSQJIERu6dGhcupws3ovhqERDHrR3W3H+voBdneV+prfdaNXIwhlxGKZO5edAW4U0Jy/sQECmtaduIeqoY10bGwM8/PzeP369ZWLsizL2NzcxNbWFh48eICHDx+qahEnREY+f1ixgbg+26LUGImgae5SC4Tr8HhsKBQEhMNRDA/7VPV5aCjodBd3Peh0Oni93hMpAbfOIUgAACAASURBVKX9OIt4PI7t7W2kUilQFAWHw3ES5BgM9RfKq5VSqYREIoFYLIvj432IogSTiYfVakBPjxMmk/4KI1sKLHtei8NiCUCSSpWfIiRJAE2zWnamTWxtbSGfz+PZs2cX/r1OZwHLGiEIGeh05muPkFqVlTkNTbM1+VFdhV6vw8REH5LJHEKhCOx2EwIB97WZ9e3tI/T1uWswdO48bhDQKLsVltWDZY1gWcO1JpPtwGq1wmAw4PDwEF1dF4vtHR0dYWlpCV6vF7Ozs2BZdSnmSpKAXG4PsiyhnqMjQchV2uNv3sLa1+fGysoednfj6O1trbmmxnVQNXvLUBQFi8UCi8VyksURRfEki7Ozs4NCoQCTyXRyTGW321V3L1yELMtIp9OIx+NIJBLIZDLgOK4SrLkQCPRAlpMVjaXr7wXFSuG8jxPDcBWfrPargN93jo6OsL29jVevXl255tA0A72+sXYFjaSRyt52uwmPHw9gf18R5eztdaGr62LPwmJRQDpdwNBQd8PeX03UPWtZrUFQFKO6AOYixsbG8OXLF3i9Z/1ZcrkcFhYWQNM0nj9/fuJ4qiaUtOkh6g9KFNEmZQK+uecWRVEYGfFhfn4bBoMOLpfWmqoeCK4ufrwajuPg8Xjg8Si1IsqxTA6JRAJ7e3tYWloCANjt9pMgx2Qytf2eLxaLJ8FLIpFAuVyG1WqF0+nE8PAwLBbLuaJoQuwoFhMolZK4+l6gwPOOtv8bNS6n6lT98uXLjgi4L0OWxVuJu14ERVHw+RzweKzY2jrCjx8bGBzshs12dm2riujd1eu87qui2RXgjcRoNMLpdGJ3dxe9vb0QRRGrq6uIxWKYmJg4KSZTI/n8wY2fK0mlSv3M7VQmaZrGxITSzs3zHMxm9RRI33caqSBKURTMZjPMZjP6+voAKB0kqVQK8XgcS0tLyOVyMBgMcDgcN15MSqUS1tbW6nqOLMtIpVLIZDLgeR5OpxNutxsPHjyoSdiSomgYDC7wvA3Z7B5k+bJjWFLJhGqoEUEQ8N9//+Hx48eqatS4CafrexoNyzIYGupGPl/C+voB9vZoDA52gec55HJFFAoCnM67m2nsnOjkhoyMjODTp08nmjIDAwOYmJhQdYTaCBsCQUg3YCQAx7EYH+/F0lIEDx8G7oyiZKfTbEdelmXhcrlOiuoJISgUCkgmk5Ckm723or5bX72C0tnRBYvldkqpNM1e+5kpXYEaakOSJHz58gXj4+Ow2Tpb+FMUczWJnd4Wo5HH1FQA8XgGCwvbcLstyGSKGBhojvqxWrjzAU0ul4MgCIhEInj79i047j4syKShC57RyGN4uPuknfuutfp1IkrnTetQ1HiNtzqeXVtbO8kAtRpFZPLqz+y2RZoajYcQgrm5Ofh8vktrITuFaoNHK520nU4L7HYz1tf3kUzm4PXaQAi5s0HNnV2ZCoUCvn79itXVVfz1118QBKGDvkT1GUXa7Sb4fHYsL+9qRpYqoNUBTadTy65YURzXPlc18evXL7Asi8HBzm8xLhYTbbm+KArI5UqYmupDKpXDz59byGSanyVqB3cuQyNJEsLhMKLRKMbHx0+i+kAggPX1dYyMjLR5hNej1oChu9uBfF7AxsYhBgc7e7fUeVSDceXa0Bbe+jivCnsRFCRJ0KwMVMLu7i7i8Tj++uuvdg/l1kiSWENhenNIJHLQ6VjY7WbY7WZks0Wsre1Dr+cwMNAFne7uhAF3JkNDCMHu7i7ev38PlmXx7t27MynKYDCI3d1dCMLNtFlay2lDTnUxMOBFoSBgfz/R7qHcAyhQFA2et8Fk8sFgcFfctZl777BdL3q9ExxnxnX31U21mzQaSzweRzgcxtOnTzvKzoMQUlGpPksr6mYughCCra1DBIPek9+ZzXpMT/fD6bRgfn4LOzvHDW0yaCd3IjRLJpNYXFyE2WzG69evwfPnxbEYhsHg4CDC4TAmJibaMMraoSgaFEVXduHqytZQFIWxMT9+/tyEXq+D3X5et0Pj9nCcGTxvO2esyvOdXRTZLiiKhsnUjVIpdYXXE9HqaFRAPp/H3NwcXrx40VE1j4r8wR7K5QIslsAZwT6OM6LQhpjm+DgNs9lwTkWYoih4PFa4XGZEIjF8/76BYNALp9PcQaUZ5+mc0PcCSqUSfvz4gcXFRUxNTWFmZubCYKZKX18fDg8PUWjHlVUHFEXDag1Cr3eiaqimJhiGxsREH8LhfeTz2gLQeChwnAkse3cUfNUCz9tgsfSBolhcdF9pnU7tRRRFfPnyBTMzM6rUB7sMQmRks7sndjPK8dJvaJptueQJIQTb28fo779cnoSmaQQCHkxNBXB0lML8/DZyuc6d0zsyoJFlGeFwGJ8/f4bX68Xr169rauejaRojIyNYXV1twShvB0VR0OsdsFqD4HnbqZtBHQscz3MYG/MjFIpAFG/mSaJxGaRhbfca52EYHazWADjOhLP3k/o2D/cJWZbx9etXDA8Pw+l0tns4dVEuF87UaQlC5lydG8e1Vpx0fz8Jp9MMne76LJcyn/ciGPRgdXUP4XAUoth5ukwdFdAQQrC/v4/3799DlmXMzs6ip6enrl2sz+dDOp1GNptt4kgbB00zMBjcsFqDsFoHYDJ1g+edYFlj24Mcs1mPYNCLpaXInTmDVQvlclEr/G0i1SOoqsEkw/AwmbphNvvbPLL7y8LCAhwOB/z+zvsOLhJlLJXObkqUYvPWzNWSJGN3N4a+vvrEY61WIx49CsJiMWBubgN7e3HVNqlcRMcENJlMBv/88w/29vbw4sULjIyM3Mg1WKkBGcPy8nITRtlcaJoBx5lgMDhhNvfAZGqd3f1luFwWuFwWrK5GO+rC7wQUQ1KNZsLzNthsQ7BY+ioF11qGph2sr6+jXC53RBfqRSi6X6fnP4JSKXEyJ0pSCfn8PlpVE7m3F0dXl/1ao8qLUMQs7Xj8eAClkojv3zeQSHRIAqDdA7gOQRAwPz+PHz9+YHR0FE+ePIHBcDuXW4/HA0EQkEqlGjTK1kIIQbGYQCazU+nKaG8g4fc7wTAUdnaO2zqOu4V27NQqtCCmvRwcHCAajWJmZqZjvwtZPn/sToiMcjkPUcwhk4m0LONaLks4OEiip+d2x3YMw2BgoAvj473Y20tgcXEbhYK6uwBVG9DIsoyNjQ38/fffsNvtePv2bUPPVcfHxxEKhRr2eq1CkgRkMhEUi3G0O5CpQlEUhod9SCbzODrqzCBRjZTLhaZbHGhotJN0Oo1QKIRnz57dKOOuFi6+Twny+SPkcq3LzADAzs4xenqcDVN0Nxh0mJzsg9/vQigUwcbGwY3tT5qNKgOao6MjfPjwAYVCAbOzs+jr62t45O5wOMAwDI6PW59VIESGIGRRKMQqtRLXX+ynszKyXItIWGuhKAoTE73Y2Yl1THpS/VAolzu340BD4yqy2Sy+ffuGp0+fXtmd2glctvEgpIxWztWCUEY8nkV3t6Phr223m/D48QB4nsP37xvY30+qrsxAVTo0uVwOi4uLAIBnz57BZGquxsnY2Bjm5ubw5s2bpqc6CSEol/MolVKnRJYISqUkKIoCx5mh01nO6Y7IchmCkEaplL7gnFZdsCyDyck+LC/vIp0uIBBwd2wKWR0QMExnT/QaGhext7eH1dVVPHr0CBZLa7t/moFanNq3t4/Q1+cGTTdn3qUoCj09Tni9NmxuHiEaTWBoqAtWqzpa7FUR0JTLZayuruLo6AgTExPweDwteV+LxQKTyYSDgwN0d3c3/PWrQYwgpE+pR/4ZkBAQotRLCELmJLihaR1EMXNKuVS9gcxpeJ7D9HQ/NjYOsbCwjbExPzhOFZdZx0HTHGi6c9PwGhp/IssyFhcXUSgU8ObNm44SzrsKNXQkFgoC0ukChoYav5b9CcsyGB7uRj5fwtraPjhOqbfh+fZ+n21daQgh2NnZwdraGoLBIGZnZ1sucz02Nob//e9/6OpqjK26EsQUKkFMtUul1mDkd3CjtPd1RhDzJxRFYXCwC7FYBnNzWxgZ8akmgu8kFKl+DY27QT6fx9evX9HT04Opqak7lb1VQ61b1eKglZ+r0cjj4cN+xGIZLCxsw+22orfX1bD6nXppW0ATj8exuLgIu92ON2/eQKdrT/uxwWCAy+VCJBJBX1/fjV+nXC6gVEpDFKv1I7cNRjozmDmNy2WBycQjFNqFx2OF3++8U5NYc6Eqwm8aGp3P/v4+QqEQZmZmOk407zqUOpL2zte5XBGlUhkOR3vmDJfLAofDhL29OH782EAg4IHbbWn5fN/ygKZQKGBpaQmCIKjm/HRkZAR///03enp6blRpL0kCstk9tPuiViN6vQ4zM/1YXz/A0lIEo6M9N9JGuI9o9TManY4sy1heXkYqlbrUZ6/zae+8TwjBxsYhBgZam535E5qm0dvrhtdrx+bmIfb24hga6obZ3Dr3+pblhSRJwurqKv7991/4/X68fPlSFcEMAOh0OgSDQfz48eNGVduCkEW7L2o1Q9M0hod98HqtmJvbRCajbi8tNcBxRi2bpdHRFItFfP78GQzD4OXLl3c0mKkWBLfvXt3djYPjGNUc6+t0LEZGejA01IW1tX2sru5BEFpjj9P0gIYQgr29PXz48AE0TePdu3fo7u5W3WQ9MDAAjuNu5PMkipkmjOju4fHYMD7ei1+/oh0nqd1aKK1+RqOjOTo6wufPnzEyMoLR0VHVzfeNpJ31M7FYBrFYBg8e+No2hsswmw2Ynu6Hw2HCz59biERikOXmzvlNDWhSqRQ+ffqEw8NDvHr1CsPDwy0v+q2HqakpJBIJ7O7u1vwcWS5fqBKpcTFGI4+ZmSAymQKWl3chSe3vDlAfBCyrjt2WhkY9EEKwsrKC1dVVvHr1qmUdq+2kXQFNNlvE5uYhJiZ6VbuuUhQFj8eGx48HIEkyvn9fRyzWvARAU2poSqUSlpeXkc1mMTk5Cbvd3oy3aTg0TePp06f49OkTDAbDtcVrhJBzNvEa18MwNEZH/djfT2JubgOjo36YTK07Z1UnFCiKRlV7RmvX1ug0SqUSvn37BpvNhlevXql2kW007WjZLpVELC/vYmKityNkMRiGRn+/B93ddqyvH5zU1xiNjT2GbOgnUbUr2N7exsjICKanpzsu1chxHJ4/f45///0XL168gNF4fqdcba0uFuOVi1k7OrkJ3d12WCx6LC/vorfXha6uzgh8mwHD8LBYets9DA2NGxGPxzE3N4eJiQl0dXW1ezgtpdWCp5IkY2lpB8PDjQ8Img3Pcxgf70UqlcfKyi6sViP6+z0NaxRpWAh9cHCA9+/fo1wu4927d/D7/R0XzFQxGo149OgRvnz5AlEUT35PiIxiMYF0egOFwrHqlXs7AZNJj5mZIGKxDFZX9yDL9/UISruONDoPQgjC4TAWFxfx4sWLexfMAK1VCSaEYHk5Ap/PAbu9c2UdbDYjHj0agMmkx48fGw2rqbx1QJPNZvHPP/8gEongxYsXGB0d7WiTsSoOhwMPHjzAf//9h3JZRKEQQyq1oWVlmgDLMhgf74XZrMePH5uqd3RtBlqBtEanIYoivnz5cqL6e1E2+z4gy+L1D2oQGxuHMBj4png1tRqKotDdbcejRwMoFkV8/76BZDJ3/ROv4MZHTqIoYmVlBYlEApOTk3dOLAkAenp6kMmk8f37Pxge9qFDE04dQdUjxGIxYGlpB4GABx6Ptd3DaiFaQKPROSSTSfz48QMjIyPo6elp93DaiiS1xkA2Gk2gUBAwMXG3jqZZlsHgYBcKBQFra/vY24tjcLALen39Yrt1Z2gIIdjc3MTHjx9htVrx9u3bOxnMVOnr80CSZOzuxto9lHuBxWLA9HQQBwdJhMP79+YISsvQaHQC1fn/58+fePbs2b0PZgghLelyTSRy2N9PYGysc0s5rsNg0GFqKgCfz4GlpR1sbBzU3QVbd0Dz4cMH5HI5vH37FoFA4M5+uIBysYpiGiMjvpN+f43mw3GKazfPs/j5cwvFYutSuu1DC2g01E25XMa3b9+QTCbx5s0bmM2aVhIhzQ9mqgaQExN9bfNIaiUOhxmPHw9Cp+Pw/fs6Dg5q7ySu+8jpyZMn9+ZCLpcLIEQGTdOYmOjFz59b4HmupVLO9xWKotDX54bVasTCwjYGBrxwudShLN0ctIBGQ72k02l8+/YNQ0NDt/K8u2tIUnPr/USxjFAogrExf9udrFsJRVHw+53weq3Y2jqq+Xl1h3v3JZgBUNGYURYajmMxPt6L5eVdlEr3IWOgDmw2I6an+7G7G8fGxsGdPZq5o/8sjTvAzs4Ovn37hidPnmjBzB8o9TPNuXllWcbSUgTBoPfebqI5jsXwcO0qyHc/f3VDZFlCuXzWc8ho5DE83I2lpYimcNtCdDoWDx8qx5s/f25BEDo5oKTAMHoo3i/VH0DL0GioDUmS8OPHDxweHuLt27ewWu9TkX5tlMvNKQgmhGB1NQqXy3LHM9ONRf0Sg21CEC6ul7HbTfD57CcqjXe5hkhNUBSFYNCLRCKLnz+3MTzc3aE6DAQmkw8URUOWBYhiAeVyri1qoxoal5HNZvHt2zcEAgH09/dr89wlyHJzAprt7WMwDA2//+423DQDLaC5BEH4fdz0J93dDuTzAjY2DjE4eP+EpNqJw2HGw4c8lpd3kUrlEQi4O2yypVAu56DTWcEwPBiGB3B/FZI11Mfe3h5WV1fx6NGjjrGtaQfN6nA6Okohnc5jaupuN900A+3I6QLK5eK16o8DA14UCgL29xMtGpVGFZ7nMD3dD0mSsbCwDVHsJHNQcmn2T0OjnciyjPn5eUQiEbx580YLZq5BEdRrbMCRTuexsxPD+LiW/b8JWkBzAaVSCtfVNFAUhbExP6LRxK3VDTXqh6IoDA52wedzYm5uC+l0vt1DqplyuagdMWmoinw+j7///hsGgwHPnz8Hx92fjpoqkiQil9tHPn9YU/dSo+/hYlHA6uoeJiZ6G+ZtdN/Qjpz+gBAZopit6bEMQ2Niog/z89uYmOjtOKOwu4DbbYHZzCMU2oXHY4Xf7+yInQ0hRFOe1lAF+/v7CIVCmJmZudMiqZchy2UUCrHKvK9sZAUhA4bRgecd4DjThXMKy+qh01kqGdfbFfWXyxKWliIYGem5kUKuhoKWofmDUild1+N5nsPYmB+hUKTDjj7uDnq9DjMz/SgWBSwtRVAut84srn4oGAxu0LS2A9NoL0pb8BI2Njbw+vXrexfMyLKEfP4Q6fQWRPHPoIRAkkrI5w8qZsSxC8sQDAZPpQ7u5hBCEApF0NvrgtV6P/2wGoUW0JyiWEyiWIyh3mjbbNYjGPRiaSlyb6T61QZN0xge9sHjsWJubhOZTOH6JzUUCjTN47ozdZY1QKfT2l812kuhUMDnz5/BMAxevnwJnr8/2WVCJBQKx0inNyEIaVw93xMQIqNUSlQeexaKoipdizffoKyt7cNqNcLrtd34NTQUtCMnKBFysRirqXbmMlwuCwoFAaurUYyO9nTEscddxOu1wWzW49evKDiOQV+fGxaLoSXvbTA4wTA8SqUUBCF96oxduaYoioHR2KVdGxptI5/PIxwOIx6PY3JyEh6Pp91DahlKYJJEsVht5Kh9rqcoGjx/ccBB0wzMZj8ymZ26XhMAdndjKJclDA111/U8jYu59wENIQT5/D5EMY/bnoP6/U6Ew1Hs7BwjELg/E4XaMBp5zMwEkU7nsb19hHJZRl+fGw7HxWfhjUKWJXAcC4PBBYPB1bT30dCol1QqhV+/fqFYLGJoaAgPHz68N4E1IQSlUgqlUryiNF7vPE9Br3eBoi4/0GAYHYzGbuTz+zW/fiyWwdFRGtPTms5Po7jXAQ0hMrLZvYbJV1MUheFhH+bnt2EwpODxaCnEdmK1GjE5GUA+X8LOzjE2Nw8r/iC2JkwgrXHd1dCoFUIIjo+PEQ6HK0eyw3A6O6NovpFUj4xu2pVE02xNx8QsW7s9QTZbxObmIaan+0HTWuVHo7i3AY0sl5HNRhq+CFEUdcbIUivyaj9GI4/RUT9KJRG7u3F8/boOn8+O7m5HQ91rW+G8q6FxHYQQ7O3tYW1tDWazGZOTk/fatoCmGVitQZTLeRSLiTo3sBSMRm9NQeBFNTYXP048UZrnuHu7BDeFe/lpSpKAbDbSNC0QlmUwMdGLhYVtTE0FtDY8lcDzHAYHuxAIuBGNJvD9+zrcbqXVuxETi5ah0WgnkiRhe3sbW1tbcLvdeP78OQyG1tSPqR2KosBxJnCcCZIkolRKngpArg5uRLEAlr36c1SOtS5Xl68iSTIWFyMYGurSZD6awL0LaCRJvFHxVr3o9TqMjPRgaSmC6el+TShJRbCsUizs9ztxcJDCz59bsFqN6O11wWC4LvikQFHUhcGwFtBotANBELCxsYG9vT34/X68fv0aOp22iboMhuFgNHpgMLggCBkUCse4fD0gKJUSAAj0+suP68rl/LUbZEIIVlZ20d1th8NhvtW/QeNi7lVAoxQAH6BVzsbVRTIUimi+HCqEpmn4fA50d9sRi2WwsrILnufQ2+u6oDOKAkUxMJt9J7VXf15HhKhZ/0bjrpHP57G2toZYLIZgMIh3796BYbSNU61UO5fK5TxE8Sq199/ZF6U4+Pw8XizGcd26srl5CL2eg8/nuNW4NS7nXgU0gpCunJ+2Dq/XhkJBwNraPoaHfS19b43aoCgKbrcVbrcVqVQOW1tHkGWCvj4X7PZqZxQBy/InIlocZzqnKH1VF4SGRqNIp9P49esX8vk8hoaGMDU1pW2WboFe76qhy1XplCJEPhXUKNlaSSpda5Wwv59EPl/CxERfI4eu8Qf3JqBR5K2vSi02j0DAjZWVXezuxuD3a+28asZmM8FmMyGXK2JnJ1bpjHLB47FCFPMQhAx0OgsMBk9lEqymmSnodFpXm0ZzIIQgFoshHA6DEIIHDx7A5bo4W6BRHwyjA8cZr8nSAFVj2VqLf6skkzlEo3FMTwe176vJ3JuAJp8/RDuCGUDJAIyM9ODnzy0YDDo4nZa2jEOjdkwmPcbGlM6oSCSGnZ1j+HwOdHXJcDgMoGkWBoMbhcIRqtcVz2vfq0ZjIYQgGo1ibW0NRqMR4+PjsNm0wLnR1JalQQ1/f5Z8voRweB8PHwYa2lGpcTH3IqARhAzK5VZL4Z+FpmlMTvadtHObTLVrFmi0D57nMDTUDVGUEI3G8f37GrzeJEZHpyvGdGlIUrFiYKfVL2g0BkmSsLOzg83NTbhcLjx9+hRGoyYB0Sxqz9LUjiiWEQpFMDbWA56/f+7l7eDOBzSyLJ3ZRbcTjmMxPt6LUCiChw/7odPd+Y//zsBxDAIBD3p7XdjfT+HTp09wu90YGOgHUALP29s9RI07gCiK2NjYwO7uLnp6erSOpRai17tQLhduqCZ8FsX4M4L+fi/MZq11vlXc+RVV8dRpfzBTxWjkMTjYhcXFHUxP92tpyA6Dpmn09DgxODiCeDyH79/nYDQa8OCBB1arlnXTuBmFQgHr6+s4PDxEMBjE7OwsWLYx0/NpjRSa5kBRDGiarTi+01pdRwWG0cFqHYAkFSEIWYhittKKXd/6QQjBr19RuFwWuN3aMXQruQcBzZ+28O3H4TCjWBSxsrKL8fFebULpOAhkuYSenh74fD7EYjEsLi5WrC+GtWJNjZpJp9NYW1tDJpPB0NAQxsfHGyqFf96r7vR1+ds09XeQU/1RAh+G0YGm7/wycQJFUWBZA1jWAELckGWxEtxkKjpT168lOzvHoCgKfr+z+QPWOMOdvlJluQxZFts9jAvx+RzI50vY3DzEwEBXu4ejUSflchFAteXbDbfbjVQqhXA4jFAohKGhIfh8Pi2w0biQaseSJEkYHh6Gx+Np+LWiBDOHfxS7nl+QCZFAiARZPt16rIyFpjlYrYGGjqtToCgKDKODweCEweBEPn8EQUhd+ZyjozSSybymO9Ym7nRAo2Rn1MvgYBeWlnawv59Ed7dWg9F+qhPQ9bswWRZACDkzadlsNjx9+vRE8Gx1dRXBYBB9fX2a4JkGCCHY39/H2toa9Ho9RkdHYbc3574nhKBQOKpoJd0kQ61kc5pZG0YIgSSVIIoZVKsCqvouv/+MP/7/ot+d/X+KosEw+oYHFHq9o9KyffHnmckUsLNzhOnpIGhaC2bawT0IaNR13HQaiqIwNtaLnz83oddzsNtN7R7SPefPlPxVUJBlEQxzvmDTaDTi4cOHJ5L079+/h9/vx8DAADhO63a4b0iShEgkgo2NDTidTjx+/BgmU3Pv9WIxduv5j6IY6HSNrwGRZami55KELEuob4zX3Z/UyetxnAk6nQUsa2iI6CVNs+A4M0Tx/EZZKSHYw+Rkn2Zz00bubECj5uOm0zAMjYmJPszPb2NyshcGg2ZY1i5omq1MsLUhSaULA5oqOp0Oo6OjGBoaws7ODj5+/Ai32/3/2zvzpybSve1/esm+hxACJOyIIqCDx3NGnbfq+dOfOvWo54zKjBu4K7IjJGTfenl/6ICo7GTn/lRRU4OB3KS77776u1xfotEooVBIdK90MZqmsbe3x+7uLuvr6/T393Pv3j0cjsZe37peoVxOUalcNDKzj4TbfXQazDCqFIu7qKobVXXW6m1OFhpWNKZEubxXS4FxwfWd3SemWs0dtGGrqguHI4jNdrnWd6cz/EvUS9N0FhdXmJzsP8MsOEEj6VpB0+7ppsM4HDampvYHWY5gswmF3wqsp6/CT7UEx2GiaaUzPcGqqsro6CjDw8Nsb2+zs7PD+/fv0TQNv99PKBQiHA7j8/nqWhAqaA6maZLP50mlUiSTSfb29gAIhUKEQqG6diwd/f4GlUqWcjlde4i7fFRalm2o6tE3//0OoMOeLVYhrRubzYUs2w8EjmFoVCqZg7EBzY+YW++naQU0rYjbHb1U1ElRbD/4Fom/RgAAIABJREFU1ZimydLSKvF4D4GA8AlqBOl04fQX1Tj3Vba9vU00Gj3vjzWddk83/YzP52J4uJfFxRVmZ4fEja3pSNhsHgzj5+LI4znvMEpZlonFYsRiMcDyqshkMqRSKT58+EA2m8Vmsx3cCMPhcMOf6AXnp1qtsre3RzKZJJVKUSwW8Xg8hEIh4vE4N2/ebKiA2UfXK5RKyUPCon77nWnqVKs5bDbvL9GXo95vXzCUrFp5FMWBJEkHxfPtsRebNcd4Gbv94im/w67CHz9u4vO5iEaFe3MjKBYrvH+/cebXn/uqW1xcxOVy4fO1b399p6SbfiYS8R8cwGvXBkSVfJNRFCeqWjljIaV06fC1LMsEg0GCwSCjo6MAlMtlUqkUqVSKT58+UalUDqI4oVCIQCAgxG4TMU2TXC53IF729vZQFIVgMEg4HCaRSOByuVpyrebzm2cW3+fFNHUKhW1kOYnbHUVVXbXvmycM+P1+zeh66ZjXtBqrjV2WBw7+ppPQ9SqVSvqQl5l5UMC8vp6kWtUZH481brlXGE3TWVpaYWpq4Mw/c25BMz8/z7Nnz5qSD74onZRu+pl4vIf37zdYXd0lkYi0ejlXBqtwUDqxJuZnFKX+DqAOh+OHKI5pmmSzWZLJJF++fCGdTqOq6oHACYVCuFzCibReVCqVA0GZSqUolUp4vV7C4TBDQ0PMzs62Tcea5YvSSEwMo0out46iOHC7e9vKpPTimORy63i9cVT16HuYZUaYplTa5aiHm2Qyx/Z2mrm5YfHg2QAMw2RxcZWhoV58vrPvb+cWNH6/n+npaZ48ecK9e/fa5uI+TKelmw5jmbP18+rVV5xOG729IpTZWCRkWcHptKagy7Kds507UlMMxyRJwu/34/f7GRkZAayUx369xvLy8g833f0oTjtel+2GaZoHKb9kMkkmk/lBLA4PD7etWLTqUYxTX1end0PXS2Szq7VzvjP31h8xyeXW8PnivzzEGEaVfH4TXa9w1N+ay5X4/HmL2dlhES1tAKZp8uHDBsGgh0jEf66fvdCOHI1Gyefz/P3338zPz7eVQu3UdNNhZFliejrO4uIK+XyZ4eH6m24JLL8Kp7MHu9138Pnu28GfdrNQ1fr7XJwVm81GNBo9qGU7nBb5+vUr6XT6IJ21X4vTqrRIO7GfzttPH1WrVXw+H6FQiLGxMfx+f8fcoKw97nuLcnMwO35v/RGDfH7zF+PAYnHn2LTa1tYeq6u73LgRF7P4GsTa2i6maZJI9Jz7Zy98REZHR8nlcrx7946pqamL/pq6Y7Urdj6qqjA7O8zy8jdevlzm+nVxAdUHCUmSakLGf+RNXlFsJ9QJWL/juA6QViBJEj6fD5/Px/DwMPC9cDWVSrG6ukqxWMTtdh9EcYLBYFMKV1vFfsH1vng5XHAdDocZHx9v25T5WbDSTc0WNN2HFen6kaOsGwzD4MOHTTRN59atEeE10yB2djLs7uaYnb2Y0/KldrSZmRn+/PNPVldXicfjl/lVdeMkJ8dOQ5IkRkaiJJM5Xrz4wsREvzDfqwNud+zEgl5FcZ4iaDhTQWErsdls9Pb20tvbC+zb4BdIJpOsr6+zuLiIaZoHxa2hUAiPx9OxUZxSqXQgXlKp1EFLfDgcZmJiAr//aPHaqViRkmalnLqZo0ZB/Pi5FosVlpZW6esLMjAQ6qrzqJ3IZossL+87LV8sUnopQSNJEvPz8zx+/Pjg6a+VdEO66SjCYS8ezzBLS6uEw14SiYi4qC6MST6/cVDkqCi/PqVb3zv56fc8xcPtgCRJeDwePB4PiUQCsMzf0uk0yWSSxcVF8vk8LperYdGbcrnMhw8f6vb79qMw2WwWh8NBOBwmEokwOTnZ9aaFVn2HoBEcFjQ7OxmWl79x7drAuYpTBeejXN53Wo5fyoft0ruWzWbj7t27/Oc//+Gf//xnwy29T6KTu5tOw+GwMTc3wufPW7x+bbWy2WzdmzJoLN+LHFXVhcsV+UGgWPUxSs1n5tdxCIpi7wpBqaoqPT099PRYuWpr/k+Rvb09DKP+T/9Wqs9Z198Xi8Xw+XxdcTzOgxA0jcTAMEw+f96iWKwIs9MGo+sGi4srTEzELu2UX5c7osvl4vbt2zx9+pT79++3ZF6NYeiUSkm6Jd10FLIsMT4eY2cnw4sXy0xO9uP3t08tR+dhomkFstkVbDYvLlcPsqyiKHYCgRHrFaZ5aBqx9d9Oi86cFUmScLvduN2NOac+fPjQNqnpTqcbI9Gt4df7RbFY5s2bVXp6fIyN9V05sdxM9p2W+/vDdSmnqFtJfygUYnJykqdPnzbk6e40isVvdLOYOUwk4md6OsHHj5sHFeGCy2BSrWbJZJYpFL79UBQoSVJN5Diw2dzY7b4j01QCQbPYF9mC+rO1tcWrV18ZHe0Tqf0m8OnTFh6Pg1isPlPd69qjODAwQCQS4eXLl029yWpa8Ye5IlcBl8vOrVsjFApllpZW0TSxwV0ek0olQybzhVJpTwhFQVthufRWapFocaOtJ1akYImPHz8yNzcs5jI1gY2NFOVylZGR+o1SqrvpwsTEBIZh8OnTp3r/6iOxBsNtcVWiM4eRZZnJyQEiET/Pn38hl2tXu/FOwgRMSqVdMpnlQ5OBBYLmY5om1WqBQmGbTOYL2ewK5XKKq7jfNQJZtlEqlXj8+DGSJPGvf93Fbm9+ycRVI5XKsbm5x9TUYF2jYHUXNJIkcevWLTY3N9nc3Kz3r/+Fcjl15cOv0WiAGzfivHu3zsZGqtXL6RJMTFMjn18/NGBPIGgeul4mnf5EPr9BpZI5VKQuqA8ShYLM48ePmZiY4Pr164jPt/EUCmU+fdri5s0EilJfCdIQW0xZlrl79y5v3rwhnU434i0AqzCuVBJPKwBut4Nbt0ZIpwu8ebOGrguPiotjuQg7HEF8vgSqWr/OHIHgLBiGTi63zn7EUFBfTNNkdTXFhw9f+P333w+5bhuIdF7jqFY1lpZWuX59sCFGsQ3z+bbb7fzjH/9gYWGBYrHYkPewRsGLi30fRZG5fn2QQMDN8+dfKBRONocTHEbCmqDtw+sdwO8frbVziwJgQXOx0ujrVz7y3CiqVY1Xr1YAB/fu3fthXtdRzsGC+mAYBq9frzA6GsXjacxDYkMHl3i9XmZnZ3n69CmaVt/JsJVKTqQCjqG/P8S1awMsLa2yvd24CNn5kX76ajX7IsaDxxMjEBjD4+k7mLwtEDQby9F5W/jMNIhMpsCLF8sMDQ0wMzP7iyOtJWjEQ3K9MU2Tt2/X6e31Ew77GvY+DXdmi0QiDA8Ps7CwwN27d+tyozBNg2JRRGdOwut1cuvWCO/erZNO5xkfj7Vg8J7ltivLNlTVjaq6DkzrKpUMxeIOzT+G1ppU1YndHsBm8yBJnTGQUND9lMtpqtUcYm+rL6ZpsraW5Nu3DDdvDhGNTh7zOhGhaQRfv+5gsykMDp5/4OR5aIrV7NDQELlcjsXFRW7evHnp31cqJUVL7RlQVYUbN+Ksryd5/vwL16/HcbmaYQq3PwAy8sMk68M4HAFsNi/F4i7V6r7DcyOO6ff3VhQ7drsfm81bm6otELQP1WqeUmkXIWbqi6bpvH27jt2ucuvWSM1A87jrX0Ro6s32dppMpsDMzNDpL74kTfPOv3HjBk+fPmV5eflgIvBFsVppxUl3lmm7kiQxONiDz+dicXGF4eFeIhF/Q9fkcARxOkOnRj5kWcHjiWIYITStVPsqYhgVvguR8x5nGTCQJBVVddYiQ05k2SbSSIK2Rder5PObiH2tvuRyJd6+XSOR6CUaDWKzuXA6TzJx20+Hi+NQDzKZAquru8zNDTdl/22aoNkfZPno0SPcbvfBFOCLYBj1rcfpLKyTQlVd2O1+DKNCpZI99JkcfSH6/W7m5oZ582aNdLrA6GgfslzPE8yqRXG5Isjy+U4rWbZht9uw263cqmmaGEYVXS9RrZbQ9WLN6v1nkXM4+uI4EC9WWkukkQSdgWka5HJriJtovZAwTYOtrQwbGynm52/h91tjTU67qdrtfkCiVNoV9TSXpFSq8O7dBjMzCVS1ORHxpk43VBTlYJDlnTt38PnOXxxknWRXLc9pXYT7KRMrjfP9hu10hjEMjUolR7WaRdfLHPWUYbOpzMwMsbKyw4sXX7hxI47DcVkTKQlZtuN299atvVmSJBTFfvD3wr7IqaBpZTStgCWg3CiK80wblUDQrlQqOdHRdCl+rNWTJAeLi++RZZn/9//+51yT4yVJwuGw9thyea/r5wM2Ck3TWVxc5dq1fpzO5s2+a/q4ZqfTyfz8PM+ePePevXs4HOdri9X1/Sf1q3GSSZKKwxHAbvedGPmQZRWnM4jTGcQwdDStQLWaR9OKtc3S+swkSWJoqBe/383Ll18ZG+sjHPZeZGVIkozL1VsrrG2soLBEjgNFceBwNDJlJhA0l0olw1XZzy7Pr1FZm82FojiQJJlsNsvCwgIjIyOXKm2wagBD2O1+SqWkOEbnYH/gZCLR0/ThyU0XNAB+v/+gpub3339HUc4ejrLqK64GsmzD50ucO30iywp2u+8ghWMYWq0+pYCmFTAMnWDQU0tBrZLJFBge7j2HKJFwOsM4HEERGREILoFhaLWIquBorP3FeqBxHggYWbb/svesrq7y4cMH5ufn8fvr89Ajywpudy8OR5BSaUfUb56CaZp8+LBBIOCmtzfQ9PdviaAB6OvrI5/P8/z5c3777bcz3xitCE33n1CSJOP1DtalFkSWVex2L3a7FYnRtCKFwjfsdonZ2RGWl7d5+fIr16/Ha+6N32tUJMmKxFhfSi1CEhJdQgJBHahUsqe/6Ioiy3acztBBUf9x6LrOq1evqFarPHjwAJut/rOYFMWG291HOt2cGYWdytpaEl03SSQiLXn/lgkagLGxMV68eMG7d++Ympo6088YxlV4mpHwegfPXVx7VlTVhc+XqEVrNKan+9jZ2eP16/fcvHmTSCRSEzAi+iIQNArTNCmX01yFB7TzI+Hx9KMoJ4uTfD7Ps2fPiMfjjI6ONnTP0rQiV6nc4bzs7mbZ3c0yOzvUsntHy1tBZmZmSKVSrK2tnen1VoSmm9m/kBtruS9JVlfSfn3OwECC33+/x7t37/n4UTyFCASNRtcrohj4SKRTawYBNjY2ePLkCbOzs4yNjTX8Jlqp5BFi5mhyuRJfvmwzPR1vgYHrd1ouaGRZ5s6dO3z48IFkMnnq6202D+1hm98IpFqRbXMLqfZxuVzcv3+fcrnMn3/+SaVydeqVBIJmU6mI6MzRmFQqWdLpT2Szq5RKKTStdGCmahgGr1694uvXr9y/f59QKNT4FZkmmpZv+Pt0IuVylTdv1rhxI47N1tKkT2tTTvvYbDbu3r3Lf//7X/71r3/hdh9/Q7dalKtUq92mlq2q+lZ38MiyzMzMDBsbGzx69Ihbt241ZcMQCK4SpmlSqeRavYw2xtrbdb2ErpfYf4jVNInFxa/09cW4e/duXaMBpqljGFrNA0vDMCq1Lw3DEJG0o9B1g8XFFSYmYrjdrR/k2xaCBsDtdnP79m2ePHnC/fv3jy3skiQJt7uPfH69Npyy00WN5ePi8UTbarJzf38/fr+/aflpgeAqYXkpdfre1UxMkskcnz5tMTERIxi0kcl8xm4P4HafrwB1/4FY16s1wVKtCRaT707BV83r7PyYpsmbN2v094cIBj2tXg7QBimnw4RCISYmJnj27BmGcfwJJUn7dSbNM+ypP/s+LlF8vnhbiZl9PB4PDx48IJvN8uzZM6rVbq9fEgiagygGPjumafL58zarqzvMzQ3Xbp4mVmoqTbl8vk6xctkajFuppGujVjS+HwsTIWbOxufP27hcdmKx9ongt5WgARgcHCQcDvPq1asTX2e1NQ+c2M7Xvkg4HAH8/hEcjqOHN7YLiqJw69YtYrEYDx8+JJ1Ot3pJAkFHY5p6rWNGcBqVisbLl8tIEszODtdsJQ5jUixuo+vnqfcTQvKybG6mKBYrjI5GW72UH2g7QQMwOTmJpml8+nRyt40kKTWvlnbzRJF++rK+J0kqNpsHn28IlyvSUfOG4vE4d+7c4e+//2Z5ebnVyxEIOhZRO3M29vbyvHixTDweYWQkesKDn0k+v1Ebi3M6+8XFgouxt5dnY2OP69cH2+5hvG1qaA4jSRK3b9/m8ePHeDwe+vr6jn2tLKt4vXFyuZUzn9D1w0obWbOEFGTZhiwrh/7f+q/11V4H/iL4fD4ePHjAixcvSCaTzM7OnmtOikAgEOmm0zBNk5WVHZLJHLOzQ2eaN2cYGoXCNzye4+8VgstTKJT5+HGTmZkhFKX9Hsjbb0U1ZFnm7t27LC0tnZrmUBQbXu8gzW7nliQJv38Yny+B1zuA292L0xnGbvdjs3lQFEfXDU5UVZXffvuNcDjMw4cPyWaF06lAcFasQlRRi3Yc1arG69crVKs6c3Mj5xiea1Kt5iiXM2d6reD8VKsaS0urTE0N1mGocWNoW0EDYLfbuXPnDn/99RelUunE1yqKA5crQvNEjYTT2Vlpo3ohSRLDw8Pcvn2bZ8+endkUUSC46lijDsQN9SgymQIvXiwTiwUZH48hy+fdy02KxW+n1tNYDRiHywEEp2EYBouLq4yMRPF6na1ezrG0/d3Y5/Nx8+ZNnjx5gqZprV7OAdZ8JF+rl9FSAoEADx48YH19nRcvXqDrwqtBIDgOy3tGFNX/jGmarK3t8vHjJtPTCSKRy3hxmeTz6yeWH1gNGcM4naFa/aUQNidhmibv3m3Q0+Ojp6e973ltL2gAent7GRoa4q+//jqxoOu7l0CjkXC7TypSuzrYbDb+8Y9/4PV6efToEfm8cNMUCI5C10stqPNrb6pVnaWlVQqFCrdujeByXd6KwzB0CoXtE18jyypOZxi/fwSPpx9VdSGEzdGsrOygKDKDg+FWL+VUOqaic3h4mFwux9LSEtPT00e+pllzUVTVWbsABGCloMbGxgiFQiwsLOB2u5mYmCAQaP74eIGgXSmVkoh0k0W5XGV1dZe9vTxDQxF6e+u5V5hUq3nK5cypzuvWTDs3NpubfH6j5kAv2OfbtzTpdIGZmdYNnDwPHSNoAKanp3ny5Alfv35laGjol39vjqCx5i0JfiUUCvHHH3+wu7vL0tISpmkyOTlJT09PR1wMAkGj0PVqzdn8apPPl1hZ2aVQKBOP9zA21tegvcGqp1FV55kNWF2uXqpV4eC8TyZTYGVll7m54Y7ZvztK0EiSxPz8PI8fP8btdhOJ/Gh53QxBY7P5OtyhuLFIkkQkEiESiZDJZHj//j1LS0uMj4/T39/fMReGQFBPyuUUV/lGmU7nWVnZxTBMEokegkFPE/YCk1xuHb9/6EzNG1YaKkSpdLWPFUCpVOHduw1mZhKoarv5vB1PRwkasNqG7969y+PHj7l79y5er/fg3xqdn7ZGFfQ09D26Cb/fz507dygUCnz69Il3794xMjJCIpFAUTrnIhEILoNh6LXupquFaZrs7mZZXd3F4bAxPNyLz9fcVL1pWvU0Hk/sl7VZwyitOU6WtrLm6l11NE1ncXGVa9f6cTo76/PoOEED4HQ6mZ+f5+nTp9y/fx+73frQGxehkbDZvLjdkTZ0JW5/3G43MzMzVCoVPn/+zL///W8GBwcZGRk5OHYCQbdy1TqbDMNgayvN+noSv9/N1NRgXYp9L4ZVT5PPbwFmTcBotXvFzxEiET02TZOlpVXi8R78fnerl3NuOlLQgNUyfP36dZ48ecK9e/eQZbkBERrLCdjjiYki4Dpgt9uZmppiYmKCr1+/8ujRIyKRCOPj47hc4vMVdB+maVIu73EVUhiaprOxkWJra49IxM/c3DA2WzvcYkyq1aMiZD8fk+4/Rqfx8eMmfr+baLQzGzra4Wy7MLFYjHw+z/Pnz7l9+3adZ3RIOBx+nM6eK2me10gURWF0dJSRkRHW19d58uQJXq+XiYkJ/P7LeFAIBO1FpZLt+tlB5XKVtbUkyWSO/v4gv/021pa2+IKTWVvbRdN0xsdjp7+4TeloQQMwNjbGixcveP/+PdFoPS4iCVlWcbtjqKqjDr9PcBySJDE4OMjAwAA7Ozu8fv0aWZaZmJggHA6LAmJBR2NFZ7q3wLRQKLOyskM+X2ZwMMzoqPDm6lR2d7N8+5bpqI6mo+h4QSNJErOzs/znP/9BkhyX9DOQcDpDOByhjj6onYYkSfT29tLb20s6nebDhw8HnVGxWEwcC0FHouslDKN93M3rhdXOu4OmGSQSEa5da0bHkqBR5HIlvnzZZm5uGFnu7MhaxwsasAZZ3rnzGw8f/huHw47ff956DAlFseN294mW7BYTCAS4c+cO+Xyejx8/8vbtW0ZHR4nH46IzStBRdFPtjGmaJJM5VlZ2sNtVhoaa37EkqD+VSpW3b9e4cSPeJvVOl6Pz/4IaDoeL3367xbNnz5mZSZyj3UzC5Ypgt/vFU0Yb4fF4mJubo1wuH3RGxeNxRkZGsNnac9KrQHCYbjDSMwyD7e0M6+u7eL0upqYGcLlEKr4b0HWD169XGRvrw+3ujmPaNYIGIBSKMTdn8OrVK+bmhk8xBJJQVTdudy+y3FUfQ1fhcDi4fv36QWfU//3f/xGNRhkbGxOdUYK2xTD0po1iaQSHO5Z6enzMzAxjt4t9slswTZO3b9eIxYKEQt7Tf6BD6LozNBodYHKyyps3n7h5M35E1MVqxXa7o9hsnpasUXB+VFVlbGzsh84on8/HxMQEPp8PTStRreaQZTuKYn2J7jRBq9D1EpavSWelnCoVjbW1XXZ3s8RiIW7fHu0op1jB2fjyZRun00Z/f6jVS6krXSdoABKJYfL5Ip8/7zA2FuX7piJht/twuSLiZtehyLJMPB5ncHCQb9++8fLlS2QZ+vt9BAKHJ+aaSJKMLNtQFAd2e0B0rQmahqYV6SQxUyyWWVnZJZcrMjjYw/BwFFkWKfhuZHNzj0KhzPR0otVLqTtdKWgApqamWFhYYGurSF+fE1m24Xb3oarOVi9NUAckSSIajRIMutna+sLKyjc+f9ZIJCKEw14kScI0DXS9jK6X0bQifv9wq5ctuCJoWqHVSzgTmUyx1rGkE4/3MDkp5q11M3t7eTY2kszNjXTlce5aQSNJErdv3+bPP//EMCSmpsY6viVN8CPlcoZi8Rs+n5Pp6QTFYpnV1V2Wl7cZGOghGvUfHHPD0ND1MooiojSCxmKaJrpebfUyjsU0TVKpHCsru6iqTCIRqdncW92eul7Zf2UrlymoM9vbaVZWdpiZGepa40PpPC6WkiSZneZ6aRgGb968IZ1OMz8/j8MhbmjdQKm0R6m0y1Gb7uE6gL6+IP39IVRVwWbz4/FEm79YAQD/+7//y//8z/+0ehkNR9PK5HKrtJsgMAyTb9/SrK0l8XqdxOM9h7pbJByOAE6nNXxX1ytoWp5qNY+ul+nEeiCBhWEYfPy4SaWiMzU10JE1UaHQJKZpnhpS6toIzT6yLDM9Pc3W1haPHj1ibm6Onh4xMbuTKRZ3T/T4sNtVRkf7GBqKsLGxx99/fyYc9hGP67UBo935dCJoD6z6mfZB1w02NlJsbu4RDnu5eTOBw3HY+uC7mNlPQ6iqA1V14HSGMU0DTSuhaXnK5QxC2HQOxWKFN29W6e0NMDHR/e7rXS9o9unr68Pn87GwsEAsFmN8fLzrD243YprGmQ3LFEUhHu9hYCDMt29pXr1aJhBIMzU1jdfbPa2KgvZC19ujILhS0VhfT7Kzk6GvL8jt2yNHPJ3/KmZ+RpJkbDY3Npsb0zSpVLK0w98nOJmdnQxfvnzj2rX+jpycfRG6PuX0M4Zh8Pr1awqFAr/99ht2u3AG7jR0vUo+v16zlT/7+WiaJnt7JdbXM9hsNiYnJwmFfm1bNE0T09SFP1GduSopp3T6c0s9aIrFCquru2QyBQYHw0SjgWPqB08XMz9jmgaZzBdM06jvogV1wzBMPn/eolAoc/36YFc4AIuU0zHIsszs7Czr6+s8evSI27dvEwwGW70swTlQFBs+X4JCYYtqtcBZRY0kSYRCboaGrpFO53n//j3VapWJiQmi0SimqVMuZ6hU0pimjsvVh8Pha+wfI+gqWmmol81aHUuVikY83sPExElz0M4vZsCK1jidvRSL24goTftRLldZWlolHPYyMzN05bIQV07Q7DMwMIDf72dhYYFEIsHISHe2sXUrljlijHI5fWxx8NGYlMtpwuEo//znP8lms7x//5bFxRcMDITp7Q2w/zBbLG4jSTJ2+8kGjLpeoVxOU61mURQnDkcQVXWJ8+kK0mxDPSvqmGdlZQdZtjqWAoHT0wuK4ji3mNnHbvdQLAox024kkzk+fdpkYqKfYPBqmsZeWUED4PV6efDgAS9fvuTZs2fcunVLzAnqICRJwukMoqoO8vmNM4fBK5UsDkeQSiWDYWQYGwtRqXhYXU2ysvKNWCxEf38IRZEpFDaR5cFf/ItM06RazVMup2ptrtYGr2kFNK1YE0IBHA6/SF1dIZplqGeaJt++ZVhd3cXjcTA+HsPjObvHlqo6Liy4S6UUouupfTBNk+Xlb6TTBebmRq70iIorV0NzHCsrK3z8+JH5+Xn8fn+rlyM4J4ahkc9v/CAujuf4zfjwDJtQyEsg4MHvd9PTM1rz6KhSqaQPdXuc9F77HSNOnM4wqnq1Z09dhRqabPbrIR+X+qLrOplMiUymwM5OhmDQQzze81PH0lmQcLl6cTjOv88ZhkYms4wQM+1BpaLx5s0qPp+LkZFo10aFRQ3NOUkkEgQCARYWFhgbG2NoaKjVSxKcA1lW8XrjtbqaPCdvuMf/m6oqJBIRBgfDpFJ50ukCa2u7VKtf8Hrd+HwO/H4XHo/zDNbw+1GbIrncGsHgxLn/LkHnYBnq1UfMmKZJsVghkymQyRTJ5YqAhN+ExoU+AAAKdklEQVTvwu93c+vWUR1LZ0VCUS4WiS6Vkggx0x5YdYAbjI31EQ6LWj8QguYH/H4/f/zxB8+fP2d3d5e5uTkUpfNMiLoVK6UkndBeKiFJCvXYcGVZpqfHR0+Pr/beJvl8mUymwNpakny+hKLI+HwuAgE3Pp/rxCdlu11E/bodS8xcLBWjaTqZTPFAwFQqVVwuSzz39QUZH4/V0d3VRJbPL2i+t2wLWolpmqyuWsahMzPDOJ2iTGIfIWh+QlVV5ufnWV5e5uHDh8zPzwvPkjYhn99E0wpIkoKi2GuTtR0oig1ZtiFJCtVqYzZcSZLwep14vU4GBqzvVasamUyRbLbI+nqSSkXD7Xbg97vx+114vc5au6yEwyE66bqdsxrqmaZJoVA+FH0pIctyLfrior8/dIE00vmwhP/5aDfDwKtItarz9u0aLpedubkRMUD0J4SgOQJJkhgZGSEYDPL06VMmJycZHBxs9bKuPC5XhGx2BdPUa5urFYZvFTab+ksUx7pRFdnYSNVuVBKBgI++PiehUAiXS3Q/dSvHGertC999AVOt6ng8Dnw+F/39YbxeR1PnzMmyeqFzsFIRLsGtJJMp8v79OsPDvUQiIuJ7FELQnEAwGOTBgwf89ddf7O7uMjMzIwZcthBFsePxxMjnN/m+sbbPBitJEh6PE4/HSX+/ZdinaQbVqpNMJsfKygrFYhGPx0MoFCIcDhMMBkVas0vQtBKmaZLLlWqRuwL5fBlFkQ+idoODYez21qYILppusmrTBM3GNE3W15NsbaWZnk7gcgkz2OMQguYUbDYbd+/e5dOnTzx8+JA7d+7gdl8NG+l2xGbz4HT2nNN7pnXYbDZ6ehL091tPxFYtTp5kMsnq6iqvXr1CkiSCweCByHG73SKK0yGUSiVSqRTJ5C7fvm2g6wYej5V2HBzswet1tt2xvMjEeU0rNGAlgtPQNJ1379ZRVYXbt0fEA/UpCEFzBiRJYnx8nFAoxH//+19u3LhBLBZr9bKuLA5HAF0vU63maG9RY9XOHL6hWbU4Xrxe70EnnaZp7O3tkUqlePXqFYVCAbfbTSgUOvhSVXGpthrDMEin0ySTSVKpFNlsFofDQSgUIhj0EY3asNnaP9pmiZPzDegV6abmk8uVePt2jXi8h74+UYN3FsQueQ7C4TD3799nYWGBZDLJ9evXhWJuAZIk4XZHyeUq6Hq51cs5hdOfzlVVJRKJEIlEgP2W3SLJZJLNzU2WlpYwTfMgihMKhfB6vW335N9t7B+DVCpFKpVC13UCgQDhcJhr167h8/kOjkGxuEO5XG3xis+GrleoVgvYbGeLNJumURsxImgWm5sp1teTXL8ex+M5f0TtqiKM9S6AaZq8e/eOnZ0d7ty5g9N5dodOQf0wDJ1s9mtLBwGehizb8PuHL/17dF3/ITqQy+VwOp0HaapQKNT2LtftbKyn6/pBlOzw57v/2Z72+WYyXzGMxhjqNQJZtuHznW3WT6WSo1DYQkRoGo+uG3z4sIFpmkxODtSxVb+zEcZ6DUSSJKampgiHwzx+/JiZmRl6e3tbvawrhywreL0DZLOrtOtmaxgaul6+UN3CYRRFIRwOEw6HD75XLBZJpVJsb2/z9u3bgwjCvsg5HEEQfMfqRivUal+S7O3t/RABu379+rkiYIahd5SYAeu81LQCNtvpM39Euqk5FApl3rxZo78/SCwWEtfuBRCC5hL09vZy7949nj17RjKZ5Nq1a+IkbDKK4sDtjlIotOv0X5NyOYPbXX/B63K5cLlcDNSMcQ7XeLx7945sNovdbv8hyuBwXL3w9X6N0n5063CNUn9/P9PT05eqUdK0PJ0328ikUPiG339yAbppGsJ/pglsb6dZWdlhamoAr/dqj0i5DCLlVAcMw+DNmzek02nm5+ev5E2jVZimiaYVKBS22zj1JBMIjLZE7H7vwrFu5pqm4fP5CAQCTa//ev/+PZOTk015L6t9Osfe3l7Du8hyubUOvemfPtOpUsm28cNC52MYBh8/blGpaExNDVxinEV3c9aUkxA0dWRra4vFxUVu3br1Q2pAUH9M06BczlAup2ojEdr5vJTweGJnCu83GsMwyGQyZDIZmn0tv337lqmpqaa9n9frJRAINLRDzDQN0unPtPf5dzwORwiX6/iOp84Va+1PqVRhaWmV3t4Ag4NhEd0/AVFD0wL6+vrw+XwsLCwQi8UYHx8XJ2mdMQyNUilVy+tDZ9xITMrldFsIGlmWCQaDBIPNbwP9/Pkzw8OXL5BuJzr7Zi9htx8/1PC7I7eg3uzuZvnyZZvJyX78fuFrVi9ECXWdcbvd3L9/n2KxyJMnT6hWO6OVs1MolzNUKmksIdMJYsZC04ptnBITXBRrWGPnnIeHkWUbinK862ylkqOVo0W6EdM0+fRpk/X1JHNzw0LM1BkhaBqALMvMzs4Sj8d5+PAhe3t7rV5S1+B0hnC5eunEjbZaFU+73URnjwOQcDgCJ76ik8VaO1IuV3n+/AuqqjAzM4TNJhIk9UZ8og1kYGAAv9/PwsICiUSCkZERkYK6JJJkbcSq6iKf38AwNNp/05VQVeeZjcwEnYGul1q9hEths3mP/TfTNDr+72snUqkcHz9uMjHRTzDY+tRztyIiNA3G6/Xy4MED0uk0CwsLaJrW6iV1BYpix+cbqtUAtLNItASYxzOAJInLrZvo5AiGqrqQ5eM7anS9QntfV52BaZp8+bLN1687zM0NCzHTYMQO2wQUReH27dtEo1EePnxIJpM5/YcEp7I/AsHtjtGep7LVFutyRURkrsuw0k25Vi/jgpyebmr/kSLtT6Wi8fLlV0zTZG5uuOVT1q8CIuXURBKJBIFAgIWFBcbHx0kkEq1eUldgt3tQ1SHy+c3aRtz6p2ZJkvF4BlBVMRajG9H1StPb3uuHhKqenP7UtBLtcB11Kul0nvfvNxkbixIOH99JJqgv7fhY29X4/X7++OMPtre3+fvvv9F10flSD2RZxesdxOkM09pQuVSbk5MQYqaLqVY7N91kt58+EkPUz1wM0zRZWdnh8+dtZmaGhJhpMkLQtABVVZmfnycYDPLw4UNyuU4NXbcXkiThdIbw+eJIkkrzhY2Eqrrw+RLIsggvdzNWS3MnIp3oDAzWTdkwhN3EealWdV6/XqFc1pibG8bpFHtAsxGCpkVIksTIyAhzc3M8ffqU9fX1Vi+pa1AUB37/UK2LoxmixnoPq/i3XxT/djm6Xu1YTyFZVk8dlGoN2hQ1X+chmy3y4sUXYrEgExOxpo8VEViIGpoWEwwGefDgAX/99Re7u7vcvHlTXAx1wKph6aNS8VAsbtfGI9TlN9d+v4SiOFFVF6rqRFEcQshcETq5GNhuP7kYGPY7nARnwTRNNjZSbG7uMT2dwOU63qhQ0HjOK2iWJUnqLu9ygUAgEAgE7czyWV50ruGUAoFAIBAIBO2IiJELBAKBQCDoeISgEQgEAoFA0PEIQSMQCAQCgaDjEYJGIBAIBAJBxyMEjUAgEAgEgo5HCBqBQCAQCAQdjxA0AoFAIBAIOh4haAQCgUAgEHQ8QtAIBAKBQCDoeP4/H9uIf++jR2gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9235748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = plt.subplot(projection=ccrs.NorthPolarStereo())\n",
    "ax.set_extent([-180.,180.,65.,90.], ccrs.PlateCarree())\n",
    "\n",
    "ax.add_feature(cfeature.LAND)\n",
    "ax.gridlines()\n",
    "\n",
    "xy = ccrs.NorthPolarStereo().transform_points(ccrs.PlateCarree(), df_satt['Lon'].values, df_satt['Lat'].values)\n",
    "print(xy.shape)\n",
    "\n",
    "ax.scatter(xy[:,0], xy[:,1])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_bogdanova_monthly():\n",
    "    \"\"\"Returns monthly corrected precipitation from Bogdanova et al.  2002.\"\"\"\n",
    "    return pd.DataFrame([12.5, 9.5, 9.5, 7.4, 9.2, 12.4, 23.7, 22.4, 20.3, 15.3, 11.1, 11.1,],\n",
    "                        index=np.arange(1,13), columns=['P'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfBog = get_bogdanova_monthly()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfAvgAll = df[df['YY'] >= 79].groupby('MM').mean()[['Pg','Pc','DP','Dtc','snow%']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbd4fe80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(1,13)\n",
    "xm = x-0.25\n",
    "xy = x\n",
    "xb = x+0.25\n",
    "width = 0.25\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,7))\n",
    "\n",
    "ax.set_xlim(0.5,12.5)\n",
    "\n",
    "ax.bar(xm, dfAvgAll['Pg'], width=width, color='k', edgecolor='none',\n",
    "       align='center', label='Measured')\n",
    "ax.bar(xy, dfAvgAll['Pc'], width=width, color='0.3', edgecolor='none',\n",
    "       align='center', label='Corrected Yang')\n",
    "ax.bar(xb, dfBog['P'], width=width, color='0.6', edgecolor='none',\n",
    "       align='center', label=\"Corrected Bogdanova\")\n",
    "\n",
    "ax.set_ylabel('mm', fontsize=20)\n",
    "\n",
    "# Make ticks at 'month' boundaries and ticklabels at center\n",
    "major = np.arange(1.,13.,1.)\n",
    "minor = np.arange(0.5,13.,1.)\n",
    "ax.xaxis.set_major_locator(ticker.FixedLocator(major))\n",
    "ax.xaxis.set_minor_locator(ticker.FixedLocator(minor))\n",
    "ax.set_xticklabels(['J','F','M','A','M','J','J','A','S','O','N','D'],\n",
    "                   fontsize=20)\n",
    "ax.tick_params('x', which='major', length=0, labelsize=20)\n",
    "ax.tick_params('x', which='minor', width=1., length=10)\n",
    "ax.tick_params('y', labelsize=20)\n",
    "\n",
    "ax.legend(fontsize=17, frameon=False, loc=(0.02,0.7))\n",
    "\n",
    "fig.savefig(os.path.join(r'C:\\Users\\apbarret\\Documents\\Papers\\Snow_on_seaice_precip','npp_observed_precip_compare_corrections_1952to1991.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "184.33568480023587"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfAvgAll['Pc'][(dfAvgAll.index <= 4) | (dfAvgAll.index >= 8)].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "119.1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfBog['P'][(dfBog.index <= 4) | (dfBog.index >= 8)].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
